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Job DescriptionBenefits: • 401(k), • Employee discounts, • Health insurance, • Paid time off, • Training & development, • 401(k) matching, • Competitive salary Marketplace Operations Manager – Amazon & eBaySignature Performance Tire and Wheel Costa Mesa, CA Full-Time | On-Site Pay: $28–$34 per hour, depending on experience About the Role Signature Performance Tire and Wheel is looking for a driven, organized, and detail-oriented Marketplace Operations Manager to take ownership of our Amazon and eBay marketplace operations. We specialize in aftermarket automotive products including wheels, tires, suspension, and accessories. We are looking for someone who understands that successful marketplace management goes far beyond simply processing orders. This person will help manage the complete marketplace experience—from product listings and pricing to customer service, fitment verification, order processing, tracking, inventory accuracy, returns, and account health. This is a hands-on position for someone who enjoys solving problems, improving processes, analyzing marketplace performance, and taking ownership of results. Responsibilities • Manage daily operations within Amazon Seller Central and eBay Seller Hub, • Process marketplace orders accurately and efficiently, • Respond to customer messages, product questions, and order-related concerns, • Verify vehicle fitment and product compatibility before orders are released, • Review year, make, model, bolt pattern, wheel sizing, tire sizing, offsets, and other application information, • Add, verify, and monitor tracking information, • Follow shipments through delivery and proactively address delays or fulfillment issues, • Handle cancellations, returns, exchanges, damaged shipments, and customer-service escalations, • Open and manage Amazon and eBay support cases when necessary, • Manage and optimize marketplace product listings, • Improve listing titles, descriptions, specifications, images, item specifics, and marketplace data, • Apply marketplace SEO best practices to improve product visibility, • Monitor inventory availability and help maintain accurate stock levels across marketplaces, • Identify inventory discrepancies and work with purchasing, vendors, and fulfillment warehouses to resolve them, • Monitor competitor pricing and assist with marketplace pricing strategies, • Monitor sales, conversion rates, customer feedback, returns, and marketplace performance, • Identify underperforming products and opportunities to improve listings or pricing, • Identify potential new product opportunities and coordinate with purchasing to expand our marketplace catalog, • Assist with Amazon A+ Content, Amazon PPC, and eBay Promoted Listings when applicable, • Work closely with sales, purchasing, warehouse, vendors, and fulfillment partners, • Maintain organized records and follow up on outstanding orders and customer issues, • Identify problems before they negatively affect customers or marketplace account health, • Help develop and improve internal marketplace processes as the department grows Marketplace Performance & Account Health We want someone who understands that Amazon and eBay performance is measured and that maintaining strong marketplace metrics is critical. You should be comfortable monitoring metrics including: • Account health, • Sales and revenue, • Conversion rates, • Order defect rate, • Late shipment rate, • Cancellation rate, • Valid tracking rate, • On-time delivery, • Customer response time, • Returns, • Negative feedback, • Cases and disputes, • Listing performance, • Inventory availability You should be able to recognize when a metric is moving in the wrong direction, investigate why, and help develop a solution. What We’re Looking For • 2+ years of hands-on e-commerce or marketplace experience preferred, • Experience with Amazon Seller Central, • Experience with eBay Seller Hub, • Strong understanding of marketplace seller metrics and account health, • Experience managing marketplace orders and customer-service issues, • Experience creating or optimizing marketplace listings, • Understanding of marketplace SEO and listing best practices, • Analytical mindset with the ability to review sales and performance data, • Strong written and verbal communication, • Excellent attention to detail, • Strong organizational and follow-up skills, • Ability to manage multiple orders, customers, and priorities simultaneously, • Comfortable working with multiple browser tabs, software platforms, and systems throughout the day, • Working knowledge of Excel or spreadsheets, • Ability to quickly learn new software and internal processes, • Dependable and able to take ownership without constant supervision Preferred Experience Experience with any of the following is a major plus: • Aftermarket wheels, • Tires, • Suspension, • Automotive accessories, • Vehicle fitment, • Bolt patterns, • Wheel offsets, • Wheel and tire sizing, • Automotive parts catalogs, • Amazon PPC, • Amazon A+ Content, • eBay Promoted Listings, • Marketplace SEO, • E-commerce inventory management, • Competitive pricing analysis Automotive experience is strongly preferred, but we are willing to teach vehicle fitment to the right candidate who already has strong Amazon and eBay marketplace experience. The Person We’re Looking For We want someone who takes ownership. If a shipment is delayed, you follow it. If a customer has a problem, you work toward a solution. If a tracking number is missing, you find it. If an order doesn't look right, you investigate it. If a vehicle fitment looks questionable, you verify it before the product ships. If inventory doesn't match what the marketplace is showing, you find out why. If a listing isn't converting, you look for ways to improve it. If an Amazon or eBay metric begins moving in the wrong direction, you investigate the cause before it becomes a larger problem. We aren't looking for someone who simply completes tasks. We are looking for someone who takes responsibility for the marketplace operation and wants to continually make it better. About Signature Performance Signature Performance Tire and Wheel is a Costa Mesa-based automotive performance retailer specializing in wheels, tires, suspension, and accessories. We serve customers throughout the country through our retail location, websites, and online marketplaces. Our reputation has been built around product knowledge, vehicle fitment expertise, competitive pricing, and taking care of our customers. We operate in a fast-moving environment where problems need to be solved quickly and good ideas are encouraged. The right person will have an opportunity to take on additional responsibility and grow alongside our marketplace business. Job Type: Full-Time Work Location: On-Site – Costa Mesa, CA Pay: $28.00–$34.00 per hour, depending on experience

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer – Locomotion, you’ll lead the development and deployment of state-of-the-art controllers for legged and humanoid robots. You’ll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If designing locomotion systems that can navigate complex, dynamic environments excites you, and you want to work where your code hits the ground (literally)—this is your role. This is Field AI. What You’ll Get To Do • Architect and implement scalable reinforcement learning (RL) pipelines for locomotion and whole-body control on legged and humanoid robots, • Design policy architectures, training curricula, and domain randomization strategies that close the sim-to-real gap, • Integrate GPU-accelerated, physics-based simulation environments with custom, distributed training workflows, • Train locomotion policies from human motion data using imitation learning and motion retargeting, and distill them into compact policies that run on the robot, • Create agile, robust, and terrain-aware (perceptive) locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware, • Solve real-world challenges in balance and push recovery, contact-rich dynamics, high degree of freedom (DOF) whole-body coordination, and terrain variability, • Automate evaluation across domain-randomized scenarios and maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility, • Work closely with systems engineers, perception experts, and embedded teams, incorporating real-world telemetry and field data to continuously improve generalization, • Lead deployment workflows from experiment through lab testing to field robot validationWhat You Have, • Master’s degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred), • Deep expertise in reinforcement learning for continuous control, • 2+ years of experience developing and deploying locomotion policies on real robotic systems (preferred), • Hands-on experience with legged robot platforms (quadrupeds, bipedal/humanoid systems, or exoskeletons), • Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet, • Strong command of sim-to-real transfer and a track record of bridging the gap successfully, • Solid understanding of contact dynamics, control theory, and kinematics, • Strong Python and/or C++ development skills in Linux-based development environments, • Familiarity with machine learning frameworks (PyTorch, JAX, TensorFlow), • A passion for building things that move in the real worldThe Extras That Set You Apart, • 3+ years of experience in an industry or startup robotics setting, • Experience optimizing and deploying learning based controllers on resource constrained robotic platforms (ONNX Runtime, NVIDIA TensorRT, real time onboard inference), • Publications or open-source contributions in locomotion, reinforcement learning, or control (e.g., CoRL, RSS, ICRA, IROS), • Familiarity with ROS/ROS2 or custom middleware for real-time control, • Background in manipulation, loco-manipulation, or whole-body coordination, • Experience combining learned policies with model predictive control (MPC) or whole-body controllers, • Experience with motion imitation pipelines from motion capture or teleoperation data, • Experience debugging sim-to-real issues at scale, • Contributions to reinforcement learning libraries or simulation platforms, • Prior work on multi-agent learning or terrain-adaptive control systems Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs. Sensor Systems Role: As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack. You will work with a diverse array of sensors—LiDARs, depth cameras, IMUs, GPS, and more—ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains. What You Will Get To Do 1. Sensor System Design Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices. Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility. Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy. Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization. 1. Sensor System Implementation Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature). Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed. Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance. Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states. 1. Sensor System Production & Servicing Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale. Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries. Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments. What You Have Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS. Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams. Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation. Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups) Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI. Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.). Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints. Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions. Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Compensation The salary range for this role is $100,000-$240,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Location: Irvine, CA Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at https://fieldai.com. About the Data Platform Team Every robot we deploy generates a continuous stream of telemetry, sensor logs, and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem list that drives our engineering roadmap. About the Job As a Data Platform Engineer, Infrastructure, you will build and operate the cloud foundation the entire data platform runs on — the systems every robot log, dashboard, and model-training run depends on. You will collaborate with pipeline and analytics engineers, as well as edge and robotics teams, to keep the platform reliable, secure, and cost-efficient as our fleet grows. What You'll Get To Do • Design, build, and operate the cloud infrastructure for the data platform: compute (Kubernetes, serverless, batch clusters), storage (object stores, warehouse/lakehouse), and networking., • Manage everything as code: Terraform/IaC, GitOps workflows, and CI/CD for infrastructure and data services., • Provision and tune infrastructure for heavy workloads: large-scale sensor data processing, distributed pipeline execution, and ML training and evaluation jobs., • Own platform reliability: SLAs/SLOs, on-call practices, incident response, and capacity planning as fleet data volume grows., • Implement security and governance: IAM and access controls, secrets management, encryption, audit logging, and environment isolation., • Own cloud cost management: monitoring, budgeting, and optimization across storage and compute., • Build the observability stack (metrics, logging, tracing) for all data platform services., • Build internal tooling and paved paths so pipeline and analytics engineers can ship without becoming infrastructure experts.What You Have, • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field., • 3–5+ years of experience in infrastructure, platform, DevOps, or SRE roles, ideally supporting data-intensive systems., • Strong experience with a major cloud (AWS or GCP), Kubernetes, and infrastructure-as-code (Terraform or similar)., • Strong programming skills in Python, Go, or similar for automation and internal tooling., • Experience operating production systems: monitoring, alerting, incident response, and capacity planning., • Working knowledge of data infrastructure components (warehouses, object storage, streaming systems, orchestrators) and what they demand from underlying infrastructure., • Experience with security fundamentals: IAM, network security, secrets management., • Strong problem-solving skills and ability to work in interdisciplinary teams.The Extras That Set You Apart, • Experience supporting data or ML platforms specifically (Spark/Databricks clusters, GPU scheduling, feature stores)., • Experience with high-volume telemetry or IoT/edge fleets., • Track record of significant cloud cost optimization., • Prior experience as an early platform/infrastructure hire, building from zero. Field AI Onsite Work Philosophy: Field AI believes in-person collaboration is essential for tackling complex challenges. These are fully onsite roles based in our Irvine office, with flexible hours to support work-life balance. We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. The data platform this team builds will carry every signal our robots produce — the raw material behind every autonomy improvement we ship. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do • Plan and execute release validation for each release: new-feature validation, end-to-end operational scenarios, and regression across robot platforms, compute, firmware and configurations., • Run end-to-end autonomous missions on real mobile robots in our test facility, the way a customer runs them: setup, navigation, data capture and recovery., • Verify each release candidate: install the build, run the regression set, confirm hotfixes, and report status to the release team., • Write clear, reproducible bug reports in Jira with datasets, logs, robot, build and steps attached., • Own the pass/fail evidence that feeds the go/no-go decision: pass and fail counts, deferred bugs and known-issue lists., • Prepare the release handover for the engineers who deploy at customer sites: what was validated, what was not, and what to watch., • Confirm late fixes on the next release candidate before they ship., • Build and maintain the release test-case library so each release plan starts from a curated, versioned set., • Partner with our test automation and infrastructure engineers so the scenarios you run by hand become automated simulation and robot tests., • Improve the release process itself: checklists, templates and retrospectives.What You Have, • 3+ years in QA, system test, integration test or release validation for robotics, autonomous vehicles, drones, industrial automation or another hardware-software product., • Experience planning and running structured test campaigns: writing test plans, executing against acceptance criteria, tracking coverage and reporting status to stakeholders., • Hands-on comfort with physical systems. You are willing to walk a robot through a building for hours, work on your feet, and be safety-conscious around moving machinery., • Strong written communication. You write bug reports and status updates that others can act on without a follow-up conversation., • Fluency with Jira or a similar tracker, and with a disciplined bug lifecycle: triage, severity, reproduction, verification, closure., • Comfort on Linux, in a terminal and over SSH: installing builds, pulling logs, checking a process, running a command-line tool., • Working familiarity with git: checking out a branch or tag, reading a pull request, finding what changed between two builds., • Judgement to separate a blocker from a nuisance, and the confidence to say a build is not ready., • Reliability and ownership. Releases run on a fixed calendar and you will be the person others depend on.The Extras That Set You Apart, • Experience as a release manager, release coordinator or QA lead responsible for a go/no-go call., • Robotics or autonomy domain knowledge: ROS, SLAM and localization, navigation, mission planning, LiDAR, cameras., • Experience validating software on a fleet: multiple robot platforms, firmware versions, configurations or deployment paths., • Scripting or test-automation experience, for example Python or Bash to automate a test step, parse logs or collect data., • Experience with simulation-based testing or with hardware-in-the-loop setups., • Experience with test management tools such as Xray, TestRail or Zephyr., • Experience working alongside field or deployment engineers and customers., • Background in a safety-critical or regulated domain. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job FieldAI is looking for a Global Payroll Manager to join our growing finance team. You’ll own payroll end to end for a global, distributed workforce across UCAN, APAC, and EMEA, including a sizable population of contractors and temporary workers. This is a builder role - you’ll be establishing policies, identifying gaps and creating processes to close them, and helping us scale payroll as we expand into new countries. You’ll report to the Controller and work closely with People Ops, Legal, and all teams across the organization. Key Responsibilities Global Payroll Own accurate, on-time payroll for all employees across UCAN, APAC, and EMEA, whether run in-house, through in-country providers, or via Employer of Record (EOR) partners Manage the global payroll calendar, inputs, and approvals across multiple pay frequencies and currencies Own payroll tax withholding, filings, and remittances, including registrations as we enter new countries and states Manage year-end reporting in every jurisdiction (W-2, T4, P60, and local equivalents) Contingent Workforce Own the payment process for contractors and temps - onboarding, invoicing, approvals, and payment runs Partner with People Ops and Legal on worker classification and misclassification risk (ABC test, IR35, and local equivalents) Manage staffing agency and EOR relationships, reconciling invoices to timesheets and contracted rates Own 1099 and other non-employee tax reporting Systems & Processes Keep BambooHR as the source of truth for employee data, ensuring compensation and job changes flow cleanly into payroll Own integrations between BambooHR, payroll providers, benefits carriers, and NetSuite Identify and close payroll process gaps, building scalable policies and controls from scratch where they don’t yet exist Prepare payroll journal entries and accruals for month-end close and reconcile payroll liability accounts Team Be the go-to resource for employee payroll questions across all time zones Partner with People Ops on onboarding, offboarding, leave, relocations, and international transfers Act as a key finance partner to leadership on the payroll and tax implications of hiring in new countries What You Have 8+ years of progressive payroll experience, including 2-3 years managing multi-country payroll, with meaningful time spent in a startup environment Hands-on payroll experience across UCAN, APAC, and EMEA Direct experience paying contractors and temporary workers at scale, with working knowledge of classification risk Experience with BambooHR - data management, reporting, and payroll integrations Demonstrated track record of building and improving processes, not just executing inherited ones Excellent communication skills with the ability to translate payroll and tax complexity into plain language for employees and leadership The Extras That Set You Apart Familiarity with BambooHR and TriNet CPP or FPC (PayrollOrg), CPM (Canada), or CIPP (UK) certification Experience with global payroll platforms such as Deel, Rippling, Papaya Global, or ADP Global Experience with equity payroll events (option exercises, etc.) across jurisdictions Background in a Series A-C companies - you know what it means to be the first to formalize a process Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Irvine, CA · Engineering – Autonomy · Full time · On-site Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications As a Senior Software Engineer in Behavior & Interaction, you will own the software systems that turn raw autonomy into finished missions. You operationalize that autonomy into repeatable, user-facing missions, design how humans task and collaborate with our robots, and deliver the insights our customers actually act on. You will architect and ship the behavior orchestration, robot interaction, and mission-to-insight pipelines that operate in some of the world's challenging industrial environments. This is a senior role for an engineer who wants to own systems end to end,and see their work run in the field. What You Will Get To Do Own the behavior and mission layer that operationalizes autonomy: design and build the software that turns core autonomy capabilities into repeatable, reliable, customer-facing missions. Architect behavior orchestration for autonomous missions: mission definition and execution, and robust fallback and recovery behaviors for unstructured environments. Design and build human and robot interaction behavior. Validate behaviors on physical platforms in real customer conditions, then close the loop from field data back into the product. Lead design reviews, make architecture decisions, and raise the engineering bar across the team. Mentor engineers and collaborate across autonomy, perception, product, field deployment, and customer-facing teams. What You Have Master's degree or PhD degree in Computer Science, Electrical Engineering, Robotics, or a related technical field, and significant experience building and shipping production-quality software (senior-level; typically 5+ years, with meaningful robotics or autonomy work). Expert-level Python and C++, writing clean, efficient, maintainable code using modern best practices. Deep, hands-on experience with ROS2, designing, building, and deploying custom nodes and complex systems into production robots. Proven experience building behavior orchestration systems (behavior trees, state machines, task/mission planning and execution). Experience building human-in-the-loop or operator-facing systems: HRI, teleoperation, supervisory control, dashboards, or tasking and monitoring tools. Strong system design skills across APIs, inter-process communication (IPC), middleware, networking, and real-time data pipelines. A track record of shipping to production and iterating from real-world use, including turning field data into product improvements. Strong problem-solving skills and attention to detail, able to lead independently while managing multiple priorities. Highly self-motivated, with excellent written and verbal communication skills and a strong collaborative mindset. What Will Set You Apart Experience deploying robotic software in production industrial environments Background in robotics reasoning, planning, or HRI Experience with fleet management or multi-robot coordination. Familiarity with perception and machine learning Background on computationally constrained platforms and optimizing for real-time performance. Understanding of safety standards and compliance in robotics. Compensation and Benefits $160,000 – $220,000 a year Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience, and the Irvine, California market. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Meta, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About The Role We are looking for a Robotics Simulation Software Engineer to build and improve Field AI’s internal simulation tools used for autonomy development, debugging, and evaluation. This role is for someone who goes beyond simply running simulators. We are looking for an engineer who can maintain and extend simulation systems, improve code quality and fidelity, debug simulator-to-robot gaps, and help turn real-world robot behavior into reproducible simulation scenarios. You will work closely with autonomy, infrastructure, and field teams to make simulation a practical part of the development loop: reproduce field issues, improve autonomy, and validate robot behavior before returning to the field. What You'll Get To Do Maintain, refactor, and improve internal robotics simulation tools and infrastructure. Improve simulation fidelity for autonomy evaluation, including robot behavior, sensor modeling, timing, terrain interaction, and environment representation. Build workflows for scenario execution, log replay, regression testing, metrics, and visualization. Develop real-to-sim workflows that turn field logs, reconstructed environments, and failure cases into reproducible simulation scenarios. Work with autonomy and field teams to identify and debug gaps between simulated and real robot behavior. Improve developer workflows around simulation performance, reproducibility, debugging, and test automation. Contribute to the long-term simulation strategy for legged robots and humanoids operating in complex real-world environments. What You Have 3+ years of experience developing robotics simulation tools, simulation infrastructure, autonomy evaluation systems, or related robotics software. Strong software engineering skills in C++ and/or Python. Experience with simulation platforms such as Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or custom robotics simulators. Familiarity with ROS2 or similar robotics middleware, including sensors, transforms, logs, and timing. Experience with robot or simulation assets such as URDF, SDF, meshes, dynamics, or sensor models. Ability to debug simulator-to-robot gaps across sensing, timing, dynamics, and autonomy behavior. Comfortable working across research code, production robotics software, simulation infrastructure, and real-world robot deployment workflows. What Will Set You Apart Experience developing simulator plugins, custom sensor models, physics extensions, terrain/contact models, or environment authoring tools. Experience with large-scale batch simulation, CI-based regression testing, deterministic replay, or scenario evaluation infrastructure. Experience using real-world robot data to validate, tune, or improve simulation models. Experience with software-in-the-loop, hardware-in-the-loop, log replay, or simulation correlation. Experience with legged robots, humanoids, field robotics, or robots operating in unstructured environments. Experience with Isaac Sim, Omniverse, USD, PhysX, ROS2, Docker, CMake, Bazel, or GitHub Actions. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About The Job Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Software Engineer – Robot Integrations, you’ll bring new robotic platforms into our software stack and take them from first power-on to field-ready, building everything from drivers and API integrations to the low level behaviors that make a robot truly autonomous. You’ll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If working hands on with quadrupeds, humanoids, and wheeled robots across a wide variety of problems excites you, and you want to work where your code hits the ground (literally)—this is your role. This is Field AI. What You'll Get To Do • Bring up and integrate new robotic platforms into Field AI’s software stack, including legged, wheeled-legged, wheeled, and humanoid systems, • Be the first to get a new robot moving under Field AI autonomy, from initial bring-up to its first autonomous mission in the field, • Develop and maintain robot drivers and interfaces for sensing, state, command, and control, working across vendor APIs and SDKs, middleware, and internal abstractions, • Implement low level behaviors that platforms are missing out of the box, such as docking and charging, stand up and recovery, mode switching, and safe stop handling, • Implement hardware safety interfaces on each platform, such as emergency stop and safe stop paths, so the safety layer can act on any robot, • Write the onboard software that runs on the robot’s compute, from real time command loops and state publishing to health monitoring and diagnostics, • Implement and adapt planning, locomotion, and control algorithms on new platforms, such as porting a locomotion controller to a new legged robot or fitting our navigation stack to a new platform, • Tune control and command paths on each platform to improve stability, responsiveness, and motion quality, • Debug issues that cross software, networking, timing, hardware communication, and system configuration boundaries, • Support new projects and robots as they come in, adapting quickly to unfamiliar hardware, APIs, and requirements, • Build reusable integration patterns, diagnostics, and tooling that make adding the next robot faster and more reliable, • Partner with hardware and software platform teams through bring-up, validation, bench testing, and full robot trials in the lab and in the fieldWhat You Have, • Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, • Hands-on experience working with real robotic systems through industry, research, or substantial project work, • Solid software engineering skills in C++ and Python in Linux-based environments, • Familiarity with robotics middleware such as ROS/ROS 2, • Understanding of robot interfaces across sensing, state estimation, actuation, and control, • Comfort debugging real-world system issues involving networking, timing, hardware communication, and software integration, • Willingness to work across adjacent domains, including software, electronics, networking, and mechanical interfacesThe Extras That Set You Apart, • Experience integrating quadruped, humanoid, or wheeled platforms using vendor SDKs (for example Boston Dynamics Spot, Unitree, ANYbotics, or similar), • Experience writing or maintaining robot drivers, SDK wrappers, or hardware abstraction layers, • Experience with communication interfaces and protocols such as CAN, EtherCAT, serial, and UDP/TCP., • Experience implementing robot behaviors such as docking, charging, recovery, or payload control, • Familiarity with control tuning and performance profiling on physical robots, • Exposure to calibration, time synchronization, diagnostics, and deployment tooling for robotic platforms, • Familiarity with simulation, hardware-in-the-loop (HIL) testing, or regression testing pipeline Our salary range is generous and we take into consideration an individual’s background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and infrastructure for robotics data at scale. You will work on systems that move telemetry, logs, sensor data, and operational signals from deployed robots into the platforms used by autonomy, analytics, ML, and deployment teams. This role is ideal for someone with a strong software engineering background who enjoys building production systems, working with cloud infrastructure, and owning data pipelines end to end. What You'll Get To Do Design, build, and maintain production data pipelines for robot telemetry, logs, sensor data, and operational events. Build reliable ingestion, transformation, and orchestration workflows using tools such as Airflow. Develop backend services, APIs, and internal tools that make data accessible to engineering, ML, analytics, and operations teams. Work with cloud infrastructure on AWS, including object storage, compute, databases, queues, and data processing services. Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks. Collaborate with robotics, autonomy, infrastructure, and deployment teams to support real-world robot operations. Help scale data systems for growing fleets and increasingly large datasets. What You Have Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering. Strong software engineering skills, preferably in Python. Experience building and operating data pipelines in production. Familiarity with Airflow or similar workflow orchestration tools. Experience with AWS services such as S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, or related systems. Good understanding of testing, monitoring, debugging, and incident response for production systems. Ability to work across teams and translate messy real-world data problems into reliable systems. The Extras That Set You Apart Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools. Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters. Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems. Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena. Familiarity with CI/CD and modern DevOps practices. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Field AI is seeking a rigorous and innovative Senior Robotic Autonomy Engineer for Mission Autonomy to play a vital role in the development of highly advanced robotic and AI systems by designing and implementing intelligent decision-making frameworks. Your contribution is essential to advancing our autonomous robotic platforms and delivering cutting-edge AI-driven solutions to customers. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment. What You’ll Get To Do Perception-Aware Mission Autonomy: Couple runtime perception outputs (e.g. semantic 3D scene understanding) with world information, to create a unified semantic scene graph that enables perception-aware real-time mission planning and execution with spatial reasoning, feasibility validation, online task replanning, and natural language driven robotic autonomy. VLM-Based Long-Horizon Reasoning: Design and implement a VLM-based mission controller that observes the robot's camera view and scene graph, reasons about mission progress, and selects actions from reusable primitives and tools, with step verification, failure detection and recovery, online replanning, and feedback handling for natural language driven long-horizon missions. Multi-Robot Mission Autonomy: Support the development of a multi-robot mission autonomy framework for task allocation, execution monitoring, and coordination across heterogeneous robots, and expand the robotics testing framework through unit and integration tests to ensure system reliability, safety, and performance. What You Have PhD in Computer Science, Electrical Engineering, Robotics, or a related field. Advanced proficiency in Python programming, C++, ROS/ROS 2, Linux, Git, Docker 5+ years experience with AI-driven autonomy software deployed on real robots (e.g. task and motion planning, VLM/LLM-based planners, state machines, behavior trees) and low-level robotic manipulation skills Ability to effectively and efficiently communicate with all teams, and to lead technical efforts across them Strong problem-solving skills and proven ability to navigate complex software systems Strong work ethic, highly self-motivated, and able to work independently while managing multiple priorities The Extras That Set You Apart Experience with simulation environments (e.g., Gazebo, Isaac Sim) Experience with heterogeneous multi-robot systems (UGV, UAV, mobile manipulator) Experience with LLM/VLM-based long-horizon planning and failure recovery in robotic systems Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who We Are: Roark is a modern adventure lifestyle brand with roots in surf and true adventure travel and was created to give a voice to the modern adventurer who finds just as much joy on the journey as he or she does at the summit. Stories off the beaten path are the fabric of our adventures - sharing them with others is what stitches it all together. About The Role: Roark is looking for an analytically sharp and brand-literate DTC Buyer to own Ecommerce, Retail, and Amazon. This role sits at the intersection of commerce and creativity — balancing hard data with sharp merchandising instincts to ensure the right product is in front of the right customer at the right time. The DTC Buyer will drive assortment strategy, site merchandising, inventory health, and end-of-life planning across the Roark digital storefront. You will work cross-functionally with Product, Planning, Marketing, and Operations to optimize both the customer experience and business performance. Key Responsibilities include but are not limited to: DTC Assortment & Buying • Own seasonal assortment development and buying across Ecom, Retail, and Amazon, aligning product selections with brand direction, seasonal storytelling, customer demand, and channel strategy., • Partner with Merchandising and Planning to translate seasonal line architecture, revenue plans, and channel strategies into actionable DTC buys., • Develop and maintain channel-specific assortments, identifying opportunities to optimize breadth, depth, SKU productivity, and product placement across DTC channels., • Own seasonal and in-season buying decisions, including initial buys, at-once opportunities, replenishment recommendations, and chase strategies in partnership with Planning., • Evaluate product performance and market trends to identify opportunities to expand, reduce, or shift inventory across DTC channels., • Serve as the primary DTC buying voice in seasonal line reviews, assortment reviews, and go-to-market planning., • Partner with Product and Merchandising teams to provide DTC-specific feedback on product, color, size, pricing, and assortment opportunities. Site Merchandising & Channel Strategy • Partner with Ecom and Marketing to support site merchandising strategy, ensuring product presentation, sequencing, and storytelling align with seasonal priorities and business objectives., • Recommend which styles should remain live, be promoted, be repositioned, or be removed based on performance, inventory position, product lifecycle, and customer demand., • Develop channel-specific strategies for Ecom, Retail, and Amazon while maintaining a consistent brand experience., • Identify opportunities to improve assortment visibility, product productivity, and customer conversion across DTC channels. Inventory & Financial Planning Partnership • Partner closely with Planning to establish and manage OTB, inventory, sales, and margin objectives for DTC., • Review inventory levels, WOS, sell-through, and product productivity to inform buying and assortment decisions., • Collaborate with Planning on replenishment, inventory reallocation, and channel balancing to maximize sales and minimize excess inventory., • Partner on end-of-life (EOL) strategies to maximize sell-through and minimize aged inventory exposure., • Identify assortment gaps, redundancies, and inventory risks and develop actionable recommendations., • Participate in regular OTB and inventory reviews and provide buying recommendations based on business performance and inventory position. Analytics & Performance Management • Analyze key KPIs including sales, sell-through, conversion, AUR, WOS, inventory turn, margin, and SKU productivity to inform buying and merchandising decisions., • Monitor DTC performance across Ecom, Retail, and Amazon and identify trends, risks, and opportunities., • Build and maintain regular reporting and performance review cadences in partnership with Planning., • Use historical performance, customer insights, competitive research, and trend analysis to inform future assortment and buying strategies., • Identify opportunities to improve SKU productivity, inventory productivity, and overall DTC profitability., • Develop actionable recommendations from performance data and communicate them clearly to cross-functional stakeholders. Cross-Functional Collaboration • Collaborate closely with Planning, Merchandising, Product, Marketing, Ecom, Retail, Operations, and Finance to optimize DTC business performance., • Establish a strong Buyer/Planner partnership, with the Buyer owning assortment, product selection, and buy decisions and Planning owning forecasting, inventory strategy, and financial planning., • Provide DTC performance feedback to Product and Merchandising teams to influence future assortments and product development., • Partner with Marketing and Ecom teams to align product launches, campaigns, promotions, and site priorities with inventory and assortment availability., • Communicate risks, opportunities, and recommended actions proactively to leadership., • Support seasonal line reviews, buy reviews, and go-to-market meetings with clear, data-driven recommendations. Qualifications and Education Requirements Required • Bachelor’s degree., • 5+ years of experience in DTC buying, Ecom buying, retail buying, merchandising, or a related function within the apparel, outdoor, surf, lifestyle, or consumer goods industry., • Demonstrated experience owning assortments and buying decisions across one or more DTC channels., • Strong analytical skills with proficiency in Excel/Google Sheets and experience working with Ecom, retail, or inventory analytics., • Demonstrated understanding of OTB, inventory planning, sell-through, WOS, replenishment, and product lifecycle management., • Ability to translate business objectives and data into actionable assortment and buying decisions., • Proven ability to balance brand, customer, inventory, and financial objectives in a fast-paced environment., • Excellent cross-functional communication, collaboration, and organizational skills., • Highly proactive and comfortable operating independently in a lean, entrepreneurial environment., • Actively seeks out AI-enabled tools and emerging technologies, adapting quickly to leverage them for improved productivity, deeper insights, and more effective processes, while exercising sound judgment and maintaining compliance with organizational standards. Preferred • Experience with outdoor, surf, action sports, or lifestyle apparel brands., • Experience buying across Ecom, retail, and Amazon., • Familiarity with Elastic, NuOrder, Shopify, Amazon Vendor/Seller platforms, or comparable digital catalog/order management and Ecom platforms., • Experience working within a DTC growth-stage business with a blend of wholesale and direct channels., • Understanding of trend forecasting, consumer behavior, and assortment planning methodologies., • Experience working within a small, highly collaborative team where individual ownership and cross-functional partnership are critical. Location This is an in-office hybrid position, with mandatory 4 days per week in office in Irvine, CA and the option to work from home 1 day per week. Subject to change without notice as per company guidelines. Compensation The salary range for this position is $80,000–$120,000, plus opportunity for annual bonus. Salary is based on the experience and qualifications that you bring to the position. Benefits & Perks • Complimentary chef-prepared breakfast and lunch Monday–Thursday, • Generous product gift program and all-brand discounts, • Company bonus program, • 5-year and 10-year anniversary gifts and travel to desirable destinations, in accordance with plan guidelines, • Wellness program, • Medical, Dental, and Vision insurance in accordance with plan guidelines, • Company-paid life insurance, • 401(k) with employer match in accordance with plan guidelines, • 15 days of PTO plus one additional day of PTO every year on your anniversary, • 3 floating holidays per year, • Paid beach and giveback days, • Biannual team-building events and other in-person celebrations, • Dog-friendly office Archipelago Companies values a diverse, inclusive, and entrepreneurial workforce and culture, and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact HR at hr@arch-cos.com. Archipelago will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.

Job DescriptionSystems Engineer- Windows Server, VMware, and AWS, Citrix Duration: 6 months Location: Irvine, CA Onsite Position Summary We are seeking a Systems Engineer to support the migration of Windows-based workloads from an on-premises datacenter to AWS. This onsite role will work closely with infrastructure, application, networking, and security teams to assess existing systems, prepare migration plans, execute workload migrations, and provide post-migration support. The ideal candidate brings hands-on experience administering Windows Server environments, managing VMware infrastructure, and deploying and supporting Amazon EC2 instances. Citrix experience is a plus. Key Responsibilities • Assess and document existing Windows servers, VMware virtual machines, application dependencies, and infrastructure configurations., • Support migration planning, including workload readiness assessments, migration sequencing, cutover procedures, validation criteria, and rollback plans., • Prepare AWS EC2 environments and migrate workloads in coordination with cloud architecture, networking, and security teams., • Administer and troubleshoot Windows Server environments, including operating systems, services, patching, storage, and connectivity., • Manage VMware vSphere, ESXi, and vCenter environments throughout the migration., • Validate server functionality, connectivity, performance, monitoring, and backup coverage following migration., • Troubleshoot migration issues and provide post-cutover stabilization support., • Maintain system documentation, migration runbooks, configuration records, and knowledge-transfer materials., • Follow established change management, security, and operational procedures. Required Qualifications • Hands-on systems engineering or infrastructure administration experience in enterprise environments., • Strong Windows Server administration and troubleshooting skills., • Experience managing VMware vSphere environments, including ESXi and vCenter., • Practical experience deploying, configuring, and supporting AWS EC2 instances., • Working knowledge of AWS networking and access controls, including VPCs, subnets, security groups, and IAM., • Understanding of Active Directory, DNS, Group Policy, TCP/IP networking, and server storage., • Experience supporting server migrations, infrastructure transitions, or datacenter consolidation initiatives., • Ability to troubleshoot issues across operating systems, virtualization, networking, and cloud infrastructure., • Strong documentation, communication, and cross-functional collaboration skills., • Ability to work onsite at the designated location and participate in scheduled migration cutovers or maintenance windows. Preferred Qualifications • Experience supporting Citrix Virtual Apps and Desktops, including supporting infrastructure and application delivery., • Experience with AWS Application Migration Service or similar migration tools., • PowerShell scripting and automation skills., • Familiarity with backup, recovery, monitoring, and security tools across on-premises and AWS environments., • Relevant AWS, Microsoft, VMware, or Citrix certifications. Success Measures • Assigned workloads are migrated and validated within approved migration windows., • Post-migration issues are resolved promptly, with minimal disruption to business operations., • Migration runbooks and operational documentation are complete and accurate., • Migrated systems are successfully transitioned to ongoing support teams. Powered by JazzHR dkE7g1XnIW

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About This Role As an Automation Engineer at FieldAI, you will work closely with our deployed robot fleet to improve reliability and performance across real-world sites. You’ll sit at the intersection of robotics, machine learning, and field operations, owning the triage and resolution of issues across autonomy.A key part of the role is helping run our ML flywheel: identifying and prioritizing failure modes, curating and labeling data, working with modeling teams to improve models, and partnering with deployment teams to validate and ship those improvements. You’ll also have hands-on ML responsibilities, including building datasets, evaluating models, and training or fine-tuning models for new failure modes or site-specific use cases when needed.This role is ideal for someone who enjoys solving real-world problems, working across teams, and seeing their work directly improve autonomous robots in production. What You’ll Get To Do 1. Site Performance & Failure Triage Own day-to-day triage of issues across deployed sites and identify the highest-impact failure modes. Analyze robot behavior, logs, telemetry, and model outputs to diagnose issues across perception, prediction, and planning. Track failure modes and drive issues through resolution, with a focus on consistently improving site performance. 1. ML Flywheel & Continuous Improvement Work with data/labeling, modeling, and deployment teams to turn field failures into actionable data and model improvements. Build and maintain datasets and evaluation sets for new failure modes and site-specific use cases. Measure improvements in production and ensure fixes are validated and generalized across sites. 1. Hands-on ML & Modeling Train, fine-tune, and evaluate ML models when required to address new failure modes or site-specific challenges. Experiment with data, model, and inference changes across perception, prediction, and learned planning. Help identify whether a problem is best addressed through data, labeling, modeling, or system/deployment changes. 1. Deployment & Site Support Partner with deployment and robotics engineers to integrate and validate model and system improvements on robots. Support new use cases and customer requirements from development through production deployment. Help maintain reliable operation and rapidly burn down issues across deployed sites. What You Have Bachelor’s or Master’s degree in Computer Science, Robotics, AI, or a related field. Strong Python and experience with modern ML frameworks such as PyTorch. Experience training, fine-tuning, and evaluating machine learning models. Strong debugging and problem-solving skills, with the ability to work across ML and robotics systems. Experience with C++ and production ML/robotics systems. Understanding of ML data pipelines, labeling, evaluation, and model deployment. Interest or experience in robotics, autonomous systems, perception, prediction, or planning. Ability to work effectively across modeling, data/labeling, and deployment teams. What Sets you Apart Experience working with real-world robotics, autonomous vehicles, or other deployed ML systems. Experience working with perception, prediction, planning, or learned navigation models. Experience diagnosing model failures and driving iterative improvements from production data.x Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Hardware Team: The Hardware Team at FieldAI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Sensor Systems Role: As a Sensor Systems Engineer on the Hardware Team, you will contribute to the design, integration, calibration, and validation of the sensing systems that underpin our autonomy stack. You will work with a diverse array of sensors—LiDARs, depth cameras, IMUs, GPS, and more—ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains. What You Will Get To Do 1. Sensor System Design Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices. Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility. Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy. Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization. 1. Sensor System Implementation Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature). Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed. Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states. 1. Sensor System Production & Servicing Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale. Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries. Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments. What You Have Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS. Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams. Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation. Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups) Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI. Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.). Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints. Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions. Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Spring or Summer 2027 FieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. As a Robotics Research Intern in Embodied AI, you will investigate fundamental research problems in robot behavior and learning, active perception, human-robot interaction, or at the intersection of these areas, with a focus on complex, unstructured environments. You will work at the intersection of research and real-world deployment, developing new algorithms, validating them on physical robots, learning from field data, and contributing to publications at leading robotics and AI venues. What You'll Do Depending on your research background and interests, you may work on one or more of the following areas: Robot Behavior & Learning: Research methods for learning, adapting, and generating robot behaviors from demonstrations, interaction, experience, and real-world data, enabling robots to perform long-horizon tasks in dynamic and unstructured environments. Active Perception & Embodied Reasoning: Develop methods that enable robots to actively reason about what to inspect, where to observe, and what actions to take next based on task objectives, observations, uncertainty, and environmental context. Human-Robot Interaction: Develop approaches for intuitive human-robot collaboration, including natural task specification, interactive robot behaviors, human-in-the-loop reasoning, and adaptation to user intent and feedback. Embodied AI Models: Investigate and adapt foundation models, including vision-language models, vision-language-action models, and world models, for reasoning, planning, interaction, and decision-making on physical robots. Real-Robot Experimentation: Implement and evaluate research algorithms on robotic platforms operating in realistic, unstructured environments, and use deployment data to iteratively improve the underlying methods. Research & Publication: Conduct cutting-edge research in embodied AI and robotics, design rigorous experiments and evaluations, and contribute to publications at leading robotics and AI conferences and journals. What You Bring Currently pursuing or recently completed a PhD in Robotics, Computer Science, Aerospace, Electrical Engineering, Mechanical Engineering, or a related field. Strong research foundation in one or more areas such as robot learning, planning and decision-making, embodied AI, perception, active perception, or human-robot interaction. Familiarity with state-of-the-art research in embodied AI and robotics. Strong programming skills in Python and/or C++. Experience with modern machine learning frameworks. Experience developing and evaluating algorithms for robotic or embodied systems. Strong analytical and problem-solving skills, with the ability to formulate research questions and design rigorous experiments. Strong written and verbal communication skills and the ability to collaborate across research and engineering teams. What Will Set You Apart Hands-on robotics experience, including testing and deploying autonomous systems on physical robots. Experience with ROS or ROS2 and real robotic systems. Publications at leading AI and robotics venues such as CoRL, ICRA, IROS, RSS, NeurIPS, CVPR, or similar. Research experience in robot behavior and learning, such as imitation learning, reinforcement learning, learning from demonstrations, or learning from interaction and real-world experience. Research experience in active perception or active inspection, including task-driven perception, information-gathering behaviors, viewpoint selection, or reasoning under uncertainty. Experience in human-robot interaction, language-conditioned robotics, shared autonomy, or interactive robot learning. Experience fine-tuning or deploying large multimodal models, particularly vision-language, vision-language-action, open-vocabulary, or related foundation models. Why Join FieldAI FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer – Manipulation, you’ll lead the development and deployment of whole-body control and manipulation capabilities for humanoids and arm-equipped quadrupeds, turning real field scenarios into behaviors our robots perform reliably every day. You’ll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If building robots that can use their hands in the real world excites you, and you want to work where your code hits the ground (literally)—this is your role. This is Field AI. What You’ll Get To Do • Develop whole-body control and manipulation capabilities for humanoids and quadrupeds with arms, coordinating base, torso, and arm motion as a single system, • Take specific field scenarios from concept to repeatable execution on hardware, interacting with the built environment and handling objects and tools, • Build learning based and model based manipulation policies and integrate them tightly with perception and locomotion, • Train manipulation policies from demonstration data and adapt vision language action (VLA) foundation models to our robots and tasks, then make them work on hardware, • Design grasp, contact, and force interaction strategies that hold up across varied objects, surfaces, and environments, with interaction forces kept safe for people and equipment nearby, • Harden behaviors so they succeed across repeated runs, changing lighting, object variation, and real site conditions, • Build simulation environments and evaluation pipelines for manipulation, and use field data to close the gap between simulation and the real world, • Deploy on physical robots and iterate rapidly through lab testing and field validation, • Work closely with locomotion, perception, and systems engineers to deliver end to end capabilitiesWhat You Have, • Master’s degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred), • Deep expertise in robot manipulation or whole-body control, • 2+ years of experience developing and deploying manipulation behaviors on real robotic systems (preferred), • Hands-on experience with robot arms, hands or grippers, and humanoid or mobile manipulation platforms, • Solid understanding of kinematics, dynamics, contact modeling, and force control, • Experience with manipulation planning and control, such as trajectory optimization or model predictive control (MPC), • Experience with learning based manipulation, such as imitation learning, reinforcement learning (RL), or vision language action models, • Proficiency with simulation tools such as Isaac Lab, MuJoCo, or Drake, • Experience integrating perception for manipulation, • Strong Python and/or C++ development skills in Linux-based development environments, • Familiarity with machine learning frameworks (PyTorch, JAX, TensorFlow), • A passion for building things that move in the real worldThe Extras That Set You Apart, • 3+ years of experience in an industry or startup robotics setting, • Experience with loco-manipulation on legged platforms or whole-body model predictive control for humanoids, • Experience fine tuning or deploying vision language action models on real robots, • Experience building teleoperation and demonstration data collection pipelines at scale, • Experience with cross embodiment or generalist manipulation policies that transfer across robots and tasks, • Experience with dexterous multi fingered hands, or with tactile and force torque sensing in closed loop manipulation, • Experience optimizing and deploying learning based controllers on resource constrained robotic platforms (ONNX Runtime, NVIDIA TensorRT, real time onboard inference), • Publications or open-source contributions in manipulation, whole-body control, or robot learning (e.g., CoRL, RSS, ICRA, IROS), • Familiarity with ROS/ROS2 or custom middleware for real-time control, • Experience debugging sim-to-real issues at scale Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer – Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI. What You’ll Get To Do 1. Develop Robust Motion Planning Algorithms Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments. Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities. Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts. 1. Advance Control and Planning Integration Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems. Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance. 1. Validate and Test Across the Stack Build and maintain testing pipelines from unit-level validation to full robot deployment. Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation. Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness. 1. Diagnose and Improve Field Performance Investigate and resolve issues arising from field deployments through structured data analysis and debugging. Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field with 2+ years of industry or applied research experience or MS degree in a related field with 4+ years of relevant experience, or BS degree in a related field with 8+ years of relevant experience. Strong understanding of motion planning, trajectory generation, and control systems. Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid). Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc Solid programming skills in C++ and Python on Linux-based systems. Familiarity with robotics middleware such as ROS/ROS 2. Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders. The Extras That Set You Apart Exposure to real-world deployment of autonomous systems. Background in optimization, control, or numerical methods for trajectory planning. Familiarity with learning-based or hybrid planning approaches. Contributions to open-source planning or control frameworks. Familiarity with safety-critical autonomy and industrial robotics use cases. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a DevOps Machine Learning Infrastructure Intern to take on a role supporting our Software Engineering team. The DevOps Intern will work alongside engineers to help build, maintain, and enhance our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with application development, cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments. Requirements • Develop, maintain, and optimize RESTful APIs using Python and FastAPI., • Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance., • Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval., • Implement CI/CD pipelines to automate testing and deployment processes., • Collaborate across teams to ensure seamless integration of cloud-native tools and practices., • Maintain on-premises servers running Ceph, PostgreSQL, and NFS services., • Troubleshoot & resolve issues across different environments (development, staging, production)., • Participate in code reviews, pair programming, and knowledge sharing sessions Qualifications • Candidate pursuing a Bachelor's or Master's degree in Computer Science or equivalent work experience, with relevant coursework, research, or project experience., • Proficiency in Python, with familiarity using FastAPI for API development., • Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters is a plus., • Familiarity with containerization technologies (Docker, Kubernetes)., • Exposure to cloud infrastructure services such as S3, RDS, and VPCs., • Familiarity with CI/CD tools like GitLab CI/CD or Jenkins., • Familiarity with database systems, including MongoDB, PostgreSQL, and NFS., • Exposure to on-premises storage solutions like Ceph., • Familiarity with Linux system administration., • Willingness to learn to write clean, maintainable code and perform thorough testing., • Strong problem-solving skills and a strong attention to detail., • Exposure to cloud-native observability tools (Prometheus, Grafana) is a plus., • Familiarity with Kubernetes operators and Helm charts is a plus., • Exposure to container orchestration on-premises using K8s or similar technologies is a plus., • Exposure to DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus. Benefits About Syntiant: Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer – Planning and Control, you’ll design, implement, and deploy path planning, trajectory planning, obstacle avoidance, and motion control algorithms that enable our robots to move with precision, robustness, and efficiency across wheeled, legged, and humanoid platforms. You’ll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code hits the ground (literally)—this is your role. This is Field AI. What You'll Get To Do • Design, develop, and refine path planning and navigation algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and off-road or unstructured environments., • Develop optimization based trajectory planning that ensures smooth, reliable, and efficient navigation across wheeled, legged, and humanoid platforms., • Build real time obstacle avoidance and reactive planning layers that keep robots safe among people, machines, and changing terrain., • Develop and tune control algorithms for precise trajectory tracking and stable operation across different robotic systems., • Plan and track within the constraints set by our independent safety layer, and work with the safety team to keep nominal behavior well inside the safe envelope., • Develop learning based planning and navigation, from learned navigation policies to foundation model driven mobility., • Collaborate across autonomy layers for seamless coordination between perception, planning, and control., • Build and maintain testing pipelines from unit-level validation to full robot deployment, using simulation for evaluation, benchmarking, and regression validation., • Analyze real-world telemetry to diagnose field issues and deliver targeted improvements while maintaining general-case reliability.What You Have, • Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus), • Strong understanding of motion planning, trajectory generation, and control systems., • Experience in classical planning and control, such as path planning, trajectory optimization, and model predictive control (MPC), • Experience implementing learning based navigation, such as learned navigation policies or vision language action models (VLA) for mobility, • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid), • Solid programming skills in C++ and Python on Linux-based systems, • Familiarity with robotics middleware such as ROS/ROS 2, • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, and wheel encodersThe Extras That Set You Apart, • Exposure to real-world deployment of autonomous systems, • Background in optimization, control, or numerical methods for trajectory planning, • Experience with hybrid architectures that combine classical planners with learned components, • Experience deploying vision language models (VLM) or vision language action models for navigation on real robots, • Experience deploying planning or navigation stacks with real time onboard inference (ONNX Runtime, NVIDIA TensorRT), • Contributions to open-source planning or control frameworks, • Familiarity with safety-critical autonomy and industrial robotics use casesCompensation and Benefits The salary range for this role is $70,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Manufacturing Engineer, Robotics Hardware The Manufacturing Engineer will be responsible for designing, implementing, and continuously improving assembly and manufacturing processes for Field AI products. This individual will serve as the bridge between Engineering and Manufacturing, ensuring products are designed for manufacturability, assembly, testability, and long-term scalability. The ideal candidate is highly hands-on, thrives in fast-paced hardware development environments, and has experience bringing complex electromechanical products from prototype through production. This role will play a critical part in improving product yields, reducing assembly complexity, establishing quality standards, and developing functional test strategies that ensure reliable field performance. What You Will Get To Do 1. Manufacturing Process Ownership Own the development, implementation, and continuous improvement of assembly processes for robotic systems, payloads, and subassemblies. Create and maintain manufacturing work instructions, assembly procedures, process flows, and build documentation. Design assembly workflows that optimize throughput, quality, ergonomics, and repeatability. Lead manufacturing readiness activities for prototype, pilot, and production builds. Support contract manufacturers and internal production teams with process development and troubleshooting. 1. Design for Manufacturing (DFM) & Design for Assembly (DFA) Partner closely with Mechanical, Electrical, and Systems Engineering teams during product development. Drive DFM and DFA reviews throughout the product lifecycle to reduce manufacturing complexity, cost, and assembly time. Identify opportunities to simplify assemblies, reduce part count, improve tolerance stack-ups, and increase manufacturability. Provide feedback on component selection, fabrication methods, and assembly approaches to improve product robustness and scalability. 1. Yield Improvement & Production Support Establish manufacturing KPIs and yield tracking systems. Analyze production data to identify root causes of defects, failures, and inefficiencies. Lead failure analysis and corrective action (FACA) initiatives to improve process capability and product quality. Drive continuous improvement projects focused on yield, cycle time, labor efficiency, and cost reduction. 1. Quality & Test Development Define manufacturing quality requirements and inspection strategies for components, assemblies, and finished products. Develop acceptance criteria, inspection plans, and quality checkpoints throughout the manufacturing process. Establish functional test requirements and validation procedures for payloads, subsystems, and completed systems. Collaborate with Engineering and Quality teams to develop automated and semi-automated test solutions where appropriate. Ensure manufacturing processes consistently produce products that meet performance and reliability requirements. 1. Tooling, Fixtures & Automation Design and implement assembly fixtures, tooling, and manufacturing aids to improve consistency and efficiency. Evaluate opportunities for automation and process optimization. Develop calibration and maintenance requirements for manufacturing equipment and test stations. Ensure production tools and fixtures are documented and controlled. What You Have Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, or a related field. 3+ years of manufacturing engineering experience supporting complex hardware products. Strong experience with DFM, DFA, process development, and production support. Experience developing assembly processes for electromechanical systems. Knowledge of manufacturing quality systems, root cause analysis, and process control methodologies. Experience creating manufacturing documentation, work instructions, and process validation plans. Strong analytical and problem-solving skills with a data-driven approach to decision making. What Will Set You Apart Experience in robotics, autonomous systems, aerospace, automotive, industrial equipment, or similar industries. Experience supporting products from prototype through scaled production. Familiarity with PCBAs, wiring harnesses, sensors, motors, actuators, and precision mechanical assemblies. Experience developing production test equipment and functional test procedures. Knowledge of GD&T, tolerance analysis, SPC, Lean Manufacturing, and Six Sigma methodologies. Experience working with contract manufacturers and external production partners Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. The Humanoid Engineer, Manipulation will develop, integrate, test, and improve manipulation capabilities on humanoid robots. This role sits at the intersection of robot learning, controls, perception, teleoperation, and field deployment. The engineer will translate manipulation research into robust capabilities that work on physical humanoid platforms and improve through real-world testing. What You'll Do Design, implement, and evaluate humanoid manipulation and loco-manipulation behaviors on real hardware Integrate perception, planning, control, grasping, whole-body coordination, and task execution into deployable robot workflows Run hardware experiments, analyze failures, and improve manipulation reliability across diverse objects, environments, and tasks Partner with system integration, hardware, field application, and testing teams to move capabilities from prototype to deployment Support teleoperation, data collection, and human-in-the-loop workflows for improving manipulation performance Build tools, metrics, and evaluation protocols for manipulation success, repeatability, failure recovery, and operator usability Debug cross-domain issues spanning software, sensors, actuators, end-effectors, calibration, timing, and field conditions What You Bring MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems — research projects, competition robotics, or internships with daily hardware exposure Hands-on experience with robotic manipulation, humanoids, mobile manipulation, dexterous hands, or contact-rich robotics — must include physical hardware; simulation-only backgrounds will not be considered Strong foundation in kinematics, dynamics, motion planning, control, and real robot experimentation Experience with C++, Python, ROS/ROS2, and Linux in a real robotics codebase Demonstrated ability to iterate quickly from experiment to working behavior on physical hardware; comfortable running daily hardware experiments, analyzing failures, and adapting approach in real-time Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome What Sets You Apart Experience with humanoid platforms or contact-rich, dexterous manipulation systems — you've worked with robots that have hands, not just grippers Background in robot learning applied to physical hardware: imitation learning, reinforcement learning, or task and motion planning that you've validated on a real robot, not just in simulation You've taken a manipulation capability from prototype to reliable, repeatable field behavior — you know what it takes to close that gap and you've done it Track record of building evaluation frameworks for manipulation: test suites, metrics for success and failure, and the discipline to document and learn from what breaks Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job As a Data Platform Engineer, Data Pipelines, you will design and build the systems and integrations that help move data reliably from robots in the field to the teams and services that depend on it — analytics, autonomy, ML training, and deployment operations. You will collaborate with cross-functional teams spanning robotics, autonomy, and deployment to build the data backbone of a field robotics company. About the Data Platform Team Every robot we deploy generates a continuous stream of telemetry, sensor logs, and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem list that drives our engineering roadmap. What You'll Get To Do • Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI., • Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments., • Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code., • Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage., • Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking., • Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably., • Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring., • Optimize pipeline performance, scalability, and cost across growing fleet deployments.What You Have, • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field., • 3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure., • Strong programming skills in Python and SQL (C++, Scala, or Java a plus)., • Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster., • Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale., • Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors)., • Experience building for data quality: testing, monitoring, lineage, and incident response., • Strong problem-solving skills and ability to work in interdisciplinary teams.The Extras That Set You Apart, • Experience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data)., • Familiarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or rosbag., • Experience with edge computing or intermittently connected data collection., • Experience with dbt or similar transformation frameworks. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We’re building the software platform that enables FieldAI’s foundation models to run reliably and efficiently across a growing range of robots, hardware configurations, and real-world applications. As a founding member of the Robotics Platform team, you’ll help define the architecture, interfaces, and runtime systems that make our autonomy stack portable across embodiments while delivering the performance and reliability required for deployment in the physical world. This role sits at the intersection of robotics, distributed systems, middleware, and performance engineering. You’ll work across the full system—from APIs and subsystem boundaries to communication middleware, runtime execution, simulation, and deployment on real hardware—solving the foundational problems that allow autonomy teams to move faster without coupling themselves to a particular robot or hardware stack. A key part of the role is defining how robots describe themselves to the rest of the system. You’ll design the models and interfaces used to represent robot capabilities, current state, and intent so that dashboards, autonomous agents, fleet-management systems, and other services can reason consistently about what a robot can do, what it is doing, and what actions are valid. These abstractions need to remain useful as robots gain new sensors, behaviors, embodiments, and autonomy capabilities. At the same time, you’ll tackle the systems challenges of making sophisticated robot intelligence practical at the edge: designing clean abstractions without sacrificing performance, moving large amounts of data efficiently through constrained systems, understanding latency and reliability end to end, and building infrastructure that behaves predictably outside the lab. You’ll have significant influence over the technical direction of the platform and will work closely with autonomy, hardware, simulation, infrastructure, product, and deployment teams to turn cross-cutting requirements into durable systems and interfaces. The systems you build will directly determine how quickly FieldAI can bring its intelligence to new robots, integrate with fleet and operational tooling, and deploy new applications in the real world. What You'll Get to Do • Architect the software platform for physical AI—the foundation on which our autonomy runs across legged robots, ground vehicles, humanoids, and future embodiments, • Define the interfaces and contracts between major subsystems, and steward them as versioned, well-documented APIs that internal teams and external partners can depend on, • Design the abstractions that describe a robot’s capabilities, state, and intent, creating a consistent contract between on-robot autonomy and higher-level systems such as dashboards, autonomous agents, mission planners, and fleet-management platforms, • Develop mechanisms for discovering and tracking robot capabilities dynamically as hardware, software, sensors, and autonomy modules change, enabling higher-level systems to determine what missions and behaviors a particular robot can support, • Drive abstractions that decouple our intelligence from specific robots, sensors, compute platforms, and communication architectures, accelerating integration onto new embodiments, • Own platform performance end to end, from real-time execution on the robot through distributed communication and cloud connectivity, and establish the standards for latency, throughput, resource utilization, and reliability in the field, • Build and evolve the middleware and runtime infrastructure that moves high-bandwidth sensor data, model inputs and outputs, commands, and state throughout the system, • Develop tools and methodologies for profiling, tracing, benchmarking, and understanding system behavior across simulation and physical hardware, • Partner with autonomy, hardware, simulation, infrastructure, product, and deployment teams to identify systemic bottlenecks and turn recurring integration problems into reusable platform capabilities, • Set the technical direction for platform engineering at FieldAI: write designs, build consensus across teams, raise the engineering bar through review and mentorship, and help grow the teamWhat You Have, • Education: B.S. or higher in Computer Science, Robotics, Electrical Engineering, or a related technical field, or equivalent practical experience, • Experience: 5+ years building production robotics or systems software, including hands-on ownership of platform, framework, or infrastructure software that other engineering teams built on top of, • Distributed robotic systems: experience architecting distributed systems involving multiple autonomous agents, processes, computers, or robots, with a strong understanding of the failure modes that emerge outside controlled environments, • Deep ROS 2 and middleware expertise: fluency well beyond application-level use, with a strong command of the distributed systems fundamentals underneath—pub/sub and RPC semantics, quality of service, serialization, discovery, transport, and how these behave on constrained compute and imperfect networks, • Robot capability and intent modeling: experience designing abstractions that describe what a robot can do, what resources or capabilities are currently available, and what the robot is trying to accomplish. You understand how these contracts support higher-level systems such as dashboards, agents, mission planners, and fleet-management platforms, • API and abstraction design: a track record of designing versioned interfaces, frameworks, or SDKs that evolved successfully across multiple consumers. Public examples such as open-source interface packages, SDKs, specifications, design proposals, or standards contributions are a strong plus, • Modern C++ and Python: expert-level proficiency, with a strong commitment to writing code and libraries that other engineers can understand, extend, and depend on, • Systems and performance engineering: experience with Linux on embedded or edge compute, profiling and tracing, concurrency, memory and compute constraints, and techniques for high-throughput, low-latency data movement, • Production track record: software you have written or architected running on real hardware in production, along with the operational judgment that comes from deploying it, debugging failures in the field, and supporting the teams and customers who depend on it, • Judgment and independence: ability to take an ambiguous, cross-team technical problem, determine the right scope and tradeoffs, and drive it to a shipped outcome with minimal direction, • Communication and collaboration: able to write design documents that create alignment, navigate teams with competing priorities, and deliver systems incrementally rather than holding out for a theoretically perfect architectureThe Extras That Set You Apart, • Hands-on robotics experience: experience developing, integrating, or deploying software on quadrupeds, humanoids, manipulators, autonomous vehicles, or other complex robotic platforms, • Robotics middleware: familiarity with communication technologies such as Zenoh, DDS, and MQTT, including their tradeoffs for distributed and resource-constrained systems, • Rust: experience building production systems software in Rust, particularly for networking, middleware, embedded, or performance-sensitive applications, • Real-time and embedded systems: experience with real-time Linux, embedded compute platforms, hardware interfaces, device drivers, or resource-constrained edge systems, • Simulation and hardware-in-the-loop: experience building workflows that span simulation, software-in-the-loop, hardware-in-the-loop, and validation on physical robots, • Fleet and mission systems: experience designing interfaces between robots and higher-level systems such as fleet managers, mission planners, dashboards, or autonomous agents, • Cloud-to-edge systems: experience designing systems that bridge on-robot software with cloud services while accounting for intermittent connectivity, bandwidth limitations, and degraded network conditions, • Observability and performance tooling: experience building or using tracing, profiling, telemetry, and benchmarking infrastructure to understand complex distributed robotic systems, • Open-source and standards: meaningful contributions to robotics, middleware, distributed-systems, or interface standards through open-source projects, specifications, or technical working groups Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You’ll Get To Do • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation)., • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets., • Build and operate data systems for large-scale video ingestion, indexing, and storage., • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD., • Ensure reliability and observability with monitoring, logging, and alerting., • Collaborate with AI/ML Engineers to productionize workflows., • Optimize infrastructure for performance and cost across cloud and edge., • Enforce best practices in security, compliance, and maintainability., • Mentor and manage junior engineers, providing technical guidance and career development.What You Have, • Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience)., • 4+ years of industry experience in ML infrastructure or platform engineering., • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices., • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless., • Hands-on experience building ML pipelines for distributed training and large-scale inference., • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets., • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation., • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow)., • Experience with system monitoring and observability in production.The Extras That Set You Apart, • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval., • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray)., • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS)., • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation., • Strong knowledge of security and compliance in ML and cloud environments. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. About the Role We are looking for a Technical Project Manager to lead the planning and execution of our 3D mapping projects while remaining hands-on with the underlying technology. This is a hybrid engineering and project management role where you'll contribute directly to the development of our mapping systems while driving projects from concept through production deployment. The ideal candidate has a strong technical background in robotics software, computer vision, or 3D mapping and enjoys coordinating cross-functional teams to deliver high-quality solutions. You'll work closely with engineering, product, operations, and customer-facing teams to ensure projects are well planned, clearly communicated, and successfully delivered. We're seeking someone with 4+ years of experience in robotics software development and technical project management who thrives in fast-paced startup environments and enjoys balancing technical problem-solving with project execution. What You'll Get To Do Software Development & Mapping Design, develop, and maintain production-grade software for 3D mapping solutions. Deploy large-scale mapping systems and data processing pipelines into production. Validate mapping systems and algorithms using real robots and sensors in complex, unstructured environments. Build and improve internal tooling, automation, and benchmarking infrastructure to increase reliability and repeatability. Technical Project Management Own mapping projects from planning through delivery, coordinating execution across software, hardware, systems, data, and operations. Translate technical and customer requirements into project plans, milestones, and delivery timelines. Drive cross-functional collaboration across engineering, product, operations, and customer-facing teams. Track project progress using Jira, Confluence, or similar tools while managing scope, schedules, and dependencies. Identify risks early, communicate project status clearly, and drive issues to resolution. Develop documentation, processes, and playbooks that improve execution and scalability across future projects. What You Have Bachelor's degree in Computer Science, Engineering, or a related technical field. 4+ years of experience in robotics software development and technical project management. Strong programming skills in C++ and Python. Experience with 3D geometry, point cloud processing, and libraries such as PCL or Open3D. Experience using Jira, Confluence, Wrike, or similar project management tools. Strong understanding of Agile development methodologies and the software development lifecycle (SDLC). Excellent communication, organization, and stakeholder management skills. Ability to manage multiple technical projects in fast-paced, evolving environments. The Extras That Sets You Apart Experience with LiDAR sensors, Linux/Ubuntu, and robotics software development best practices. Background in mobile robotics, autonomous vehicles, drones, or embedded systems. Experience with data capture, mapping, or system integration in production environments. Experience supporting field operations or customer deployments. PMP, Scrum Master, or Agile certification. Experience working in a startup or high-growth environment with a strong sense of ownership. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are seeking a Systems Engineer to support the migration of Windows-based workloads from an on-premises datacenter to AWS. This onsite role will work closely with infrastructure, application, networking, and security teams to assess existing systems, prepare migration plans, execute workload migrations, and provide post-migration support. The ideal candidate brings hands-on experience administering Windows Server environments, managing VMware infrastructure, and deploying and supporting Amazon EC2 instances. Citrix experience is a plus. Key Responsibilities Assess and document existing Windows servers, VMware virtual machines, application dependencies, and infrastructure configurations. Support migration planning, including workload readiness assessments, migration sequencing, cutover procedures, validation criteria, and rollback plans. Prepare AWS EC2 environments and migrate workloads in coordination with cloud architecture, networking, and security teams. Administer and troubleshoot Windows Server environments, including operating systems, services, patching, storage, and connectivity. Manage VMware vSphere, ESXi, and vCenter environments throughout the migration. Validate server functionality, connectivity, performance, monitoring, and backup coverage following migration. Troubleshoot migration issues and provide post-cutover stabilization support. Maintain system documentation, migration runbooks, configuration records, and knowledge-transfer materials. Follow established change management, security, and operational procedures. Required Qualifications Hands-on systems engineering or infrastructure administration experience in enterprise environments. Strong Windows Server administration and troubleshooting skills. Experience managing VMware vSphere environments, including ESXi and vCenter. Practical experience deploying, configuring, and supporting AWS EC2 instances. Working knowledge of AWS networking and access controls, including VPCs, subnets, security groups, and IAM. Understanding of Active Directory, DNS, Group Policy, TCP/IP networking, and server storage. Experience supporting server migrations, infrastructure transitions, or datacenter consolidation initiatives. Ability to troubleshoot issues across operating systems, virtualization, networking, and cloud infrastructure. Strong documentation, communication, and cross-functional collaboration skills. Ability to work onsite at the designated location and participate in scheduled migration cutovers or maintenance windows. Preferred Qualifications Experience supporting Citrix Virtual Apps and Desktops, including supporting infrastructure and application delivery. Experience with AWS Application Migration Service or similar migration tools. PowerShell scripting and automation skills. Familiarity with backup, recovery, monitoring, and security tools across on-premises and AWS environments. Relevant AWS, Microsoft, VMware, or Citrix certifications. Success Measures Assigned workloads are migrated and validated within approved migration windows. Post-migration issues are resolved promptly, with minimal disruption to business operations. Migration runbooks and operational documentation are complete and accurate. Migrated systems are successfully transitioned to ongoing support teams. Equal opportunity employer including disability/veterans.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for an Electrical Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs Electrical Systems Role: As an Electrical Engineer on the Federal Team at FieldAI, you will contribute to the design and implementation of electrical systems that enable power and communications across the sense and compute packages. Your work will span across power systems, wire harnesses, PCB design, and communications networks with the goal of ensuring our systems are electrically robust, safe, and scalable. Responsibilities may span the full lifecycle from electrical CAD through production to field support. You will collaborate closely with the mechanical, sensor, and compute teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on electrical systems you will likely contribute across all hardware domains. What You Will Get To Do 1. Electrical System Design Power Architecture: Design regulated power systems including voltage rails, DC/DC converters, switches, fuses, and grounding schemes. Wire Harness Design: Design and document robust wire harnesses for power and data lines, including shielding, strain relief, and standard connectors. PCB Design: Create PCBs for power distribution, protocol bridging, and embedded control. Networking & Communication: Architect wired and wireless communication systems (Ethernet, USB, CAN, I2C, WiFi, 5G). Budgets & Tolerances: Maintain system-level power and bandwidth budgets. Ensure electrical tolerance to noise, EMI, and vibration. 1. Electrical System Implementation CAD & Schematics: Create PCB schematics, harness diagrams, pinouts, and complete PCB BOMs using tools like KiCAD or Altium. Calculations: Conduct electrical calculations including current draw, peak power, signal integrity, and fault analysis. Design for Field Conditions: Engineer for EMI/EMC robustness, thermal resilience, and fault isolation under field operating conditions. Testing: Conduct power validation (noise, load, transients), communication tests (bandwidth, latency), and EMI evaluation. Integration: Collaborate with sensor, compute, and mechanical teams to ensure end-to-end system compatibility and robustness. Documentation & Budgets: Maintain PCB schematics and systems level wiring diagrams. Manage system-level power and data bandwidth budgets. 1. Electrical System Production & Servicing Build: Work with vendors and contract manufacturers to procure PCBs and harnesses. Develop QA checks for incoming units. Debug: Investigate system faults using logs, oscilloscopes, analyzers, and power monitors. Support: Provide hands-on support during integration, deployment, and servicing in the field. What You Have Education: B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Power Systems: Experience designing and testing low-voltage regulated power systems. Harnessing: Hands-on design and integration of custom wire harnesses for robotics or automotive-style systems. PCB Design: Proficiency in PCB schematic and layout using KiCAD, Altium, or equivalent tools. Communication Protocols: Familiarity with USB, Ethernet, CAN, I2C, GMSL, and wireless technologies. Testing & Debugging: Skills using electrical test tools including oscilloscopes, power analyzers, and EMI/EMC setups. Documentation: Ability to produce detailed electrical documentation for design, manufacturing, and servicing. Systems Thinking: Experience working across mechanical, compute, and autonomy teams to deliver robust integrated systems. Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across electrical, mechanical, and software systems. Reliability Engineering: Background in fault protection, EMI/EMC compliance, and safety-critical design. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Systems Engineer Role As a Systems Engineer on the Hardware Team at Field AI, you will bring new robot platforms into our fleet and ensure that they operate at high standards in real world environments. This will involve integrating our control systems, autonomy stack, and payloads onto new robotic platforms. Your work will span across areas including platform abstraction, robot control, autonomy, sim-to-real validation, and electro-mechanical integration. Responsibilities may include the full lifecycle from initial platform bring-up through safety qualification and field deployment. You will collaborate closely with the Autonomy/RL, Manipulation, Mechanical, and Electrical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally while your focus will be on platform integration, you may contribute across hardware, field operations, and autonomy domains. What You Will Get To Do 1. Platform Integration & Controls Platform Abstraction: Build software abstraction layers between each robot's native control stack (such as ROS/ROS2) and our own systems, enabling payloads to move across platforms. Robot Controls & Navigation: Ensure navigation and controls stacks running correctly on physical hardware across quadruped, humanoid, and wheeled platforms. Electro-Mechanical Integration: Work with mechanical and electrical engineers on designing and integrating mechanical (saddles) and electrical (power distributions boards) interfaces . Sim-to-Real: Validate and adapt RL-based autonomy policies from simulation (Isaac, Gazebo, MuJoCo) to real-world performance on terrain, stairs, and uneven ground. 1. Cross-Team Collaboration & Fleet Scaling Cross-Functional Integration: Coordinate across Autonomy/RL, Manipulation, Mechanical, and Electrical teams to bring new platforms online. Testing & Validation: Use SIL/HIL testing to ensure integrated systems are safe, reliable, and ready for field operation. Test features such as safety features and operations under different Operational Design Domains (ODDs). New Robots: Identify, procure, test, and integrate diverse new robotic systems. Multi-Platform Support: Support multiple robot morphologies including legged, quadruped, biped/humanoid, and wheeled UGVs. 1. Safety & Infrastructure Safety Systems: Implement e-stop and redundancy/fault-tolerant safety layers, contributing to functional safety (ISO 26262, ASIL) as practices mature. Charging & Docking Infrastructure: Support charging station and docking infrastructure for charging, data offload, and communications. Field Deployment Logistics: Handle the hands-on logistics of standing up new robot platforms for field deployment across construction, mining, and oil & gas environments. What You Have Education: B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related field. Experience Level: We are looking to fill this role with someone with 3-9 years of experience. Software: Hands-on experience with middleware (ROS/ROS2) and computing languages (python, C++). Robotics Software Generalist: Strong generalist robotics software background spanning controls, navigation, and systems integration across legged and wheeled platforms. Sim-to-Real Experience: Comfort working across the sim-to-real gap, validating RL or autonomy policies from simulation (Isaac, Gazebo, MuJoCo) on physical hardware. Cross Functional Hardware Knowledge: Working familiarity with motors, actuation, BLDC motor controllers, and power distribution or electrical systems. Communication Protocols: Familiarity with CAN bus, EtherCAT, or similar real-time robotics communication protocols. Systems Thinking: Ability to work across mechanical, electrical, controls, and autonomy domains to make integrated systems function reliably on real hardware. What Will Set You Apart Multi-Platform Experience: Experience integrating software across multiple robot platforms, including legged/quadruped, humanoid, and wheeled UGVs (e.g., Unitree, Boston Dynamics, Clearpath). Field Environments: Experience deploying robots in harsh, diverse industrial field environments such as construction, mining, and oil & gas. Functional Safety: Background in functional safety standards (ISO 26262, ASIL, SOTIF/ISO 21448) and safety-critical systems testing and validation. Advanced Controls: Experience with whole-body control, impedance/admittance control, MPC, or trajectory optimization for legged or manipulator systems. Fleet & Infrastructure: Experience with multi-robot fleet operations, auto-docking/charging infrastructure, or teleoperation systems Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Design, build, and own full-stack web applications from development through production Develop backend services and APIs using Node.js (TypeScript) and Python where appropriate Build responsive, high-performance frontends using React Design clean, scalable APIs and data models Work with large, complex datasets and optimize data flow across systems Collaborate closely with product, AI, and engineering teams to deliver customer-facing features Debug and resolve issues across frontend, backend, and production environments Improve system performance, reliability, and developer workflows Contribute to code quality through reviews, testing, and shared engineering practices What You Have 5–10+ years of experience building and shipping production web applications Strong proficiency in TypeScript, JavaScript, Node.js, and React Experience designing and building full-stack systems (APIs, services, frontend) Solid understanding of system design, scalability, and performance tradeoffs Experience working with databases such as MongoDB, Redis, or similar Experience deploying and operating applications in AWS or similar cloud environments Strong problem-solving skills and ability to work across the stack Effective communication and collaboration skills in cross-functional environments The Extras That Set You Apart Experience building data-heavy or real-time web applications Experience integrating with external APIs and third-party platforms Familiarity with monorepo architectures (Nx, Lerna) Experience building and scaling production applications used by external customers Experience improving performance, reliability, and developer workflows in web systems Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Role We're looking for a Perception Engineer to help build the 3D scene and traversability representations our robots rely on to navigate real-world environments. You'll design learning-based approaches to spatial understanding from point cloud–based representations to learned traversability mapping and take them from research prototype to production on physical robots. This role sits at the intersection of perception, mapping, and autonomy, working closely with cross-functional teams to make sure our systems perform reliably in the field, not just in simulation. What You Will Get To Do 1. Own 3D Representation for Navigation (core focus) • Design and build the 3D scene/traversability representations our robots plan and act on — point cloud–based or learned implicit structures — optimized for real-time, on-robot use rather than offline reconstruction quality., • Drive a long-term research agenda on learning-based approaches to building these representations — learned traversability, learned surface/reconstruction, geometry-aware embeddings — rather than only integrating existing classical pipelines., • Stay close to the current literature on 3D scene representation for navigation — online navigation-mesh construction from streaming point clouds, learned elevation/traversability mapping, topologically-grounded navigation representations — and translate promising ideas into deployable systems. 2. Build and Maintain Perception Systems, • Design, implement, and maintain perception systems for autonomous robots operating in real-world environments., • Develop localization and mapping capabilities that hold up in unstructured, off-road, and field conditions., • Continuously evaluate and improve perception performance through testing, iteration, and field validation. 3. Develop and Integrate Sensor-Based Perception, • Implement perception algorithms that fuse data from multiple sensors — LiDAR, cameras, RADAR, inertial sensors., • Support integration of new sensing modalities and configurations as platforms evolve., • Ensure perception software behaves consistently across simulation and real-world deployment. 4. Deploy Perception Software on Real Robots, • Take representations and algorithms from research prototype to production on physical robots., • Debug issues discovered during on-robot testing and field operations., • Collaborate with autonomy, controls, and platform teams to integrate cleanly into the full autonomy stack. 5. Improve System Robustness and Scalability, • Contribute to code quality, testing, and long-term maintainability., • Build tools, metrics, and regression tests for representation quality and downstream navigation performance., • Help scale representation and perception solutions across multiple robots, environments, and missions. 6. Collaborate Across Teams, • Work with engineers, researchers, and field operators to define representation and perception requirements., • Communicate technical tradeoffs clearly to both technical and non-technical stakeholders., • Support field operations and customer demonstrations by keeping systems production-ready. What You Have Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical field. 3+ years of experience in verification, validation, systems test, or perception evaluation for robotics, autonomous systems, automotive, or similar domains. Experience working with robotic sensors such as LiDAR, cameras, GPS, and IMUs. Strong understanding of perception system behavior, sensor limitations, and common failure modes. Experience developing test plans, validation procedures, performance metrics, and structured test reports. Experience analyzing logs, datasets, and field results to debug issues and perform root-cause analysis. Strong cross-functional communication skills and the ability to work effectively with development teams while representing an independent V&V function. What Sets You Apart Experience validating perception systems for autonomous vehicles, mobile robots, drones, industrial robots, or defense robotics platforms. Familiarity with perception workflows such as detection, tracking, localization, mapping, or sensor fusion. Experience with simulation, software-in-the-loop, hardware-in-the-loop, and replay-based validation. Experience with sensor calibration, synchronization, time alignment, and sensor health monitoring. Experience building automated regression tools or validation infrastructure. Familiarity with annotated datasets, ground-truth generation, and scenario-based test design. Knowledge of structured verification processes, requirements traceability, and safety-oriented development practices. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. The Robotics Engineer, Humanoid System Integration will own the integration of humanoid software and hardware subsystems into a cohesive robot stack that is testable, debuggable, and deployment-ready. This role is responsible for bringing together perception, localization, planning, locomotion, manipulation, controls, sensors, compute, networking, diagnostics, and release workflows. What You'll Do Integrate humanoid subsystems into a reliable full-stack robot system running on physical hardware. Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools. Own robot bring-up, calibration, configuration, diagnostics, and validation workflows. Debug system-level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior. Develop integration tests, regression tests, telemetry tools, dashboards, and release-readiness checks. Partner with manipulation, hardware, QA/QC, field application, and service teams to keep humanoid platforms continuously shippable. Harden research or prototype capabilities into maintainable, testable, deployment-ready modules. What You Bring MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems — research projects, competition robotics, or internships with daily hardware exposure. Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome. Strong hands-on experience integrating robotic systems on real hardware — must include physical hardware; simulation-only backgrounds will not be considered. Strong C++ and Python skills in Linux-based robotics environments. Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems. Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints. Ability to profile performance, isolate failures, define interfaces, and coordinate across multiple technical teams. What Sets You Apart You've integrated a humanoid or legged/mobile manipulation platform from bring-up through field deployment — not just research or simulation. You've owned the interfaces between locomotion, manipulation, and perception, and debugged failures across those seams on real hardware. You've built the tooling that made other engineers faster: calibration pipelines, regression harnesses, telemetry dashboards, or release gates that prevented bad deploys. You carry hard-won instincts about what separates a demo-ready system from a deployment-ready one — and you've acted on that distinction. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. FieldAI is seeking an Account Executive to drive growth within the construction industry by helping customers adopt autonomous robotics solutions that improve project execution, operational visibility, productivity, and safety. This role will focus on developing relationships with General Contractors, Owners, and other key construction stakeholders, identifying opportunities to solve real-world operational challenges, and driving new business growth. You will work closely with customers, technical teams, and deployment teams to bring innovative technology into complex construction environments. The ideal candidate understands how construction projects operate, has experience selling solutions used in the field, and is comfortable navigating complex sales cycles involving multiple stakeholders. What You'll Get To Do • Develop and grow relationships with General Contractors, Owners, Developers, and other construction industry stakeholders, • Identify, qualify, and close new business opportunities, • Lead complex sales cycles from initial engagement through contract execution, • Partner closely with technical and deployment teams to align FieldAI solutions with customer needs, • Build strategic account plans that drive long-term customer growth and expansion, • Represent FieldAI at customer sites, industry events, and key customer meetings, • Maintain a healthy pipeline and consistently deliver against revenue objectivesWhat You Have, • 3+ years of quota-carrying sales experience, • Experience selling into construction organizations, including General Contractors, Owners, Developers, or similar stakeholders, • Track record of closing large, complex deals involving multiple decision-makers, • Strong understanding of construction workflows, project stakeholders, and operational challenges, • Excellent communication, relationship-building, and consultative selling skills, • Ability to travel regularly and work closely with customers onsiteThe Extras That Set You Apart, • Experience selling construction technology, robotics, automation, or other solutions used directly in field operations and project execution, • Existing relationships within the construction industry, • Experience partnering with technical, implementation, or deployment teams throughout the customer lifecycle, • Passion for helping customers adopt innovative technologies that transform how work gets done Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job At FieldAI, we’re building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We’re looking for a Robotics Autonomy Engineer, Systems to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You’ll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 1. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 1. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 1. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. • Help scale perception solutions across multiple robots, environments, and missions. 1. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc.). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As an AI/ML Engineer on the FiFM team, you will drive research and model development for one of Field AI’s most ambitious initiatives. Your work will span computer vision, vision-language models (VLMs), multimodal scene understanding, and long-memory video analysis and search, with a strong emphasis on agentic AI (tool use, memory, multimodal retrieval-augmented generation).This is a full-cycle ML role: you’ll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It’s a blend of applied research and engineering, requiring creativity, rapid experimentation, and rigorous problem-solving. While FiFM is your primary focus, you’ll also contribute to broader perception and insight-generation initiatives across Field AI.What You’ll Get To Do: • Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration., • Track state-of-the-art research, adapt novel algorithms, and integrate them into FiFM., • Curate datasets and develop tools to improve model interpretability., • Build scalable evaluation pipelines for vision and multimodal models., • Contribute to model observability, drift detection, and error classification., • Fine-tune and optimize open-source VLMs and multimodal embedding models for efficiency and robustness., • Build and optimize Multi-VectorRAG pipelines with vector DBs and knowledge graphs., • Create embedding-based memory and retrieval chains with token-efficient chunking strategies.What You Have:, • Master’s/Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience., • 2+ years of industry experience or relevant publications in CV/ML/AI., • Strong expertise in computer vision, video understanding, temporal modeling, and VLMs., • Proficiency in Python and PyTorch with production-level coding skills., • Experience building pipelines for large-scale video/image datasets., • Familiarity with AWS or other cloud platforms for ML training and deployment., • Understanding of MLOps best practices (CI/CD, experiment tracking)., • Hands-on experience fine-tuning open-source multimodal models using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA., • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization., • Ability to design scalable evaluation pipelines for vision/VLMs and agent performance.The Extras That Set You Apart:, • Experience with Agentic/RAG pipelines and knowledge graphs (LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, Pinecone)., • Familiarity with agent operations logging and evaluation frameworks., • Background in optimization: token cost reduction, chunking strategies, reranking, and retrieval latency tuning., • Experience deploying models under quantized (int4/int8) and distributed multi-GPU inference., • Exposure to open-vocabulary detection, zero/few-shot learning, multimodal RAG., • Knowledge of temporal-spatial modeling (event/scene graphs)., • Experience deploying AI in edge or resource-constrained environments.Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Forward Deployed Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs As a Forward Deployed Engineer at FieldAI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen. What You’ll Get To Do 1. Field Deployment & Operations Lead the end-to-end deployment of autonomous systems in customer environments. Ensure systems are configured, tested, and operational under real-world conditions. Troubleshoot and resolve technical issues quickly to maintain uptime and mission success. 1. System Reliability & Performance Gather and analyze field feedback to identify areas for improvement. Work closely with product and engineering teams to drive enhancements into the core system. Implement monitoring and diagnostic tools to ensure sustained reliability. 1. Customer Enablement & Adoption Partner with customer teams to train and support operators in achieving operational readiness. Translate complex technical concepts into clear, actionable workflows. Act as a trusted advisor to accelerate adoption and long-term value realization. 1. Cross-Functional Collaboration Serve as the voice of the customer, bringing field insights back to engineering and product teams. Collaborate across software, hardware, and AI research groups to deliver integrated solutions. Contribute to building scalable deployment practices and playbooks for future rollouts. What You Have Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field (or equivalent practical experience). 2-3 years of experience in software engineering, systems integration in Field Robotics industry. Experience in field deployment of complex technical systems. Proficiency in Python, C++, Git, ROS. Familiarity with Linux-based systems, containerization, and cloud infrastructure. Strong troubleshooting and debugging skills across software, hardware, and networking layers. Self-starter mindset with the ability to thrive in ambiguous and rapidly changing environments. The Extras That Set You Apart Experience deploying, operating, or maintaining mission-critical systems in real-world environments. Experience using Jira or Wrike or Confluence or other program management software tools Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions. Excellent communication skills, with the ability to explain technical concepts to non-technical users. Willingness to travel and work on-site with customers as needed. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? FieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job FieldAI is seeking a Field Operations Lead to drive the mission of our Large Autonomy Group and Federal Team. You will lead the effort to operate large autonomous systems in complex, remote, and challenging environments, covering developmental and operational testing, customer deployments, hardware integration, by-wire installation, and field test execution strategy. The ideal candidate combines strong people leadership with hands-on technical judgment and field operations experience. You are comfortable working directly with Field Application Engineers, Technical leads and customer stakeholders and you know how to create structure in a fast-moving, high-growth environment. What You Will Get To Do Lead day-to-day field operations, including test planning, experimentation, and execution. Manage the ground vehicle fleet to maximize uptime, including preventative and operational maintenance and equipment recovery. Own safe operations in the field, setting and enforcing safety practices. Plan and manage parts inventory for anticipated repairs, with particular attention to long-lead and hard-to-source components. Organize field equipment and coordinate logistics for deployments. Lead integration of hardware components onto customer vehicles, including complex by-wire development, testing, and installation. Support customer deployments in the field. What You Have Bachelor’s degree in robotics, engineering, computer science, or a related technical discipline, or equivalent professional experience. Significant experience in field applications engineering, robotics deployment, systems integration, technical operations, or a comparable customer-facing engineering function. Demonstrated experience leading, developing and managing technical field teams. Experience building or scaling field operations across multiple customers, sites, or geographic regions. Strong understanding of complex hardware and software systems, ideally involving robotics, autonomous systems, industrial automation, technical infrastructure or other deployed advanced technology. Proven ability to manage multiple concurrent deployments and balance customer urgency, technical complexity, staffing constraints, and business priorities. Strong troubleshooting and systems-thinking skills, with the ability to lead teams through ambiguous and high-pressure field situations. Excellent written and verbal communication skills, including the ability to communicate effectively with technical teams, frontline operators, customer executives, and internal leadership. Strong organizational and operational discipline, including experience developing processes, documentation, training programs, and performance metrics. Willingness and ability to travel domestically and internationally as business needs require. What Will Set You Apart Experience deploying robotic or autonomous systems in challenging, complex environments. Experience supporting customers in industries such as energy, manufacturing, construction, mining, agriculture, logistics, aerospace, defense, or infrastructure. Familiarity with Linux, networking, sensors, robotic hardware, autonomy software, and system-level diagnostics. Experience managing distributed or international technical teams. Experience operating within a high-growth technology company where products and processes are evolving rapidly. Knowledge of industrial site safety, commissioning practices, and customer acceptance procedures. Experience supporting the transition from early-stage pilots and demonstrations to repeatable, production-scale deployments. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Mechanical Systems Role: As a Mechanical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of mechanical systems that house and support sensing and compute platforms in real-world environments. From ruggedized enclosures to thermal management to manufacturability, your work will be critical to ensuring our systems operate reliably in the field. Responsibilities may span the full lifecycle from CAD through production to field support. You will collaborate closely with electrical, compute, and systems engineers to build tightly integrated solutions ready for deployment in challenging field environments. Additionally while your focus will be on mechanical systems you will likely contribute across all hardware domains. What You Will Get To Do 1. Mechanical System Design • Structures: Design and model mechanical structures including external enclosures, internal compute frames, and load-bearing chassis., • Mounts: Design and validate robust sensor mounts, payload attachment points, and mechanical interfaces., • Ingress Protection: Implement IP-rated solutions with gaskets, seals, membranes, and coatings to meet water/dust ingress standards., • Thermal Management: Incorporate thermal mitigation strategies such as fans, heat sinks, conductive paths, and airflow guides., • Mass & Volume Budgets: Ensure adherence to payload constraints, including tight volumetric envelopes and weight limitations.2. Mechanical System Implementation, • CAD & Simulation: Build detailed SolidWorks CAD assemblies. Run FEA and thermal simulations to validate strength, durability, and heat dissipation., • Material & Component Selection: Choose materials and components to meet mass, strength, thermal, and manufacturability constraints., • Design for Production: Apply DFM, DFA, DFS principles throughout the design lifecycle., • System Testing: Conduct mechanical load testing (shock, vibration), thermal validation, ingress tests, and sensor alignment assessments., • Prototyping: Rapidly iterate on prototypes for fit checks, thermal evaluations, and integration trials., • Documentation & Budgets: Generate mechanical drawings, GD&T annotations, BOMs, and assembly instructions for fabrication and QA. Manage weight, volume, and thermal budgets.3. Mechanical System Production & Servicing, • Build: Work with vendors and contract manufacturers to procure mechanical hardware. Develop QA checks for incoming units. Support payload integration and scaling., • Debug: Investigate mechanical failures, deformation, and environmental weaknesses during testing and deployments., • Monitor: Develop protocols for monitoring the system mechanical health and loads. What You Have, • Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Mechatronics, or related field., • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers., • CAD Expertise: Proficient with SolidWorks or equivalent mechanical CAD platforms., • Thermal & Structural Analysis: Familiarity with FEA and thermal modeling tools., • Field-Ready Design: Experience designing hardware that survives vibration, shock, thermal cycling, and environmental exposure., • Manufacturing Knowledge: Experience designing for CNC, sheet metal, additive manufacturing, and assembly workflows., • Mechanical Systems Integration: Experience working across teams to integrate mechanical systems with compute, sensors, and power electronics., • Lab Skills: Comfort with mechanical debugging, thermal test setups, vibration tables, and ingress testing., • Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems. What Will Set You Apart, • Scaling: Experience taking systems from prototype to large scale production., • Field Environments: Experience developing systems for harsh field environments., • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., • Systems Level Robotics: Fluency across mechanical, electrical, and software systems., • Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.Compensation and Benefits Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get to Do Execute manual and structured testing of robotic systems in lab and controlled environments Monitor robot behavior during operation to ensure safe and expected performance Identify, document, and reproduce bugs, anomalies, and edge cases Capture detailed test logs including failures, inconsistencies, and performance issues Partner with engineering teams to clearly communicate issues and drive resolution Validate fixes and perform regression testing on new builds and updates Improve QA processes, test procedures, and operational checklists Support ongoing system validation and provide real-time feedback on performance What You Bring • Bachelors Degree in Computer Science or other relevant field 2+ years of experience in QA, robotics testing, or hands-on technical roles (open to strong entry-level candidates with relevant experience or projects) Comfort working with physical systems (robots, vehicles, or machinery) Strong attention to detail and observational skills Ability to clearly document issues and communicate findings Basic troubleshooting skills with the ability to isolate and describe issues Willingness to be hands-on and physically engaged during testing Reliable, methodical, and safety-conscious The Extras That Set You Apart Experience with robotics, autonomous systems, or electromechanical systems Familiarity with logging tools or bug tracking systems (e.g., Jira) Basic scripting (Python, Bash) for test support or data collection Understanding of sensor systems (cameras, LiDAR, GPS, etc.) Experience with structured test plans, QA processes, or validation workflows Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Robotics Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs As a Robotics Autonomy Engineer at FieldAI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen. What You’ll Get To Do 1. Field Deployment & Operations Lead the end-to-end deployment of autonomous systems in customer environments. Ensure systems are configured, tested, and operational under real-world conditions. Troubleshoot and resolve technical issues quickly to maintain uptime and mission success. 1. System Reliability & Performance Gather and analyze field feedback to identify areas for improvement. Work closely with product and engineering teams to drive enhancements into the core system. Implement monitoring and diagnostic tools to ensure sustained reliability. 1. Customer Enablement & Adoption Partner with customer teams to train and support operators in achieving operational readiness. Translate complex technical concepts into clear, actionable workflows. Act as a trusted advisor to accelerate adoption and long-term value realization. 1. Cross-Functional Collaboration Serve as the voice of the customer, bringing field insights back to engineering and product teams. Collaborate across software, hardware, and AI research groups to deliver integrated solutions. Contribute to building scalable deployment practices and playbooks for future rollouts. What You Have Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field (or equivalent practical experience). 2-3 years of experience in software engineering, systems integration in Field Robotics industry. Experience in field deployment of complex technical systems. Proficiency in Python, C++, Git, ROS. Familiarity with Linux-based systems, containerization, and cloud infrastructure. Strong troubleshooting and debugging skills across software, hardware, and networking layers. Self-starter mindset with the ability to thrive in ambiguous and rapidly changing environments. The Extras That Set You Apart Experience deploying, operating, or maintaining mission-critical systems in real-world environments. Experience using Jira or Wrike or Confluence or other program management software tools. Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions. Excellent communication skills, with the ability to explain technical concepts to non-technical users. Willingness to travel and work on-site with customers as needed. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. What You Will Get To Do • Own full-stack product features from design through production, • Build scalable backend services using Node.js (Express) and Python, • Develop modern, high-performance frontends using React, • Implement 3D visualization features using Three.js / WebGL, • Design APIs, data models, and system architectures using clean design principlesPartner closely with AI, robotics, product, and commercial teams, • Debug performance issues and optimize rendering, data, and API pipelinesContribute to shared codebases and raise engineering quality through reviews and collaborationWhat You Have, • Typically 5–10+ years of experience building and shipping production software, • Strong proficiency in TypeScript, JavaScript, Node.js, and React, • Solid system design skills across data modeling, APIs, and UI/UX tradeoffsExperience working with MongoDB and Redis (or similar databases)Hands-on experience deploying and operating applications in AWS (or equivalent cloud platforms), • Strong collaboration and communication skills across technical and non-technical teamsWhat Will Set You Apart, • Experience with BIM or construction technology workflows, • Experience with 3D graphics technologies (Three.js, WebGL, shaders, or similar), • Familiarity with monorepo architectures (Nx, Lerna), • Experience integrating with Autodesk platforms (Revit, APS/Forge)Proficiency using the AWS SDK, • Background working on complex, data-rich, or real-time systems Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Why Join FieldAI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Internship We are offering Spring, Summer, and Fall 2027 research internships in the Irvine office for Master’s and PhD students advancing robotic manipulation. You will investigate how robots can perform useful physical tasks reliably across diverse objects, environments, and robot platforms. Working closely with researchers and engineers, you will own a focused research project and help translate promising ideas into capabilities that can be tested on hardware and improved through real deployment experience. Research directions and methods will be shaped by your expertise and the problems we encounter in the field. The goal is to produce original research with measurable impact on what our robots can accomplish. What We Offer Real deployment problems: Work on manipulation challenges grounded in customer use cases and operational needs, with opportunities to evaluate beyond controlled laboratory settings. Physical robots and hardware: Develop and validate your work on robotic systems, including humanoids, mobile manipulators, and arm-equipped quadrupeds. Research ownership: Shape a focused project, propose your approach, and carry it through implementation, experimentation, and hardware validation. Deployment feedback: Use observations and failure cases from real operation to guide research and improve reliability. Close technical collaboration: Work with researchers and engineers across robot learning, perception, control, hardware, and deployment. Research contributions: Pursue work suitable for leading conferences and journals, with opportunities to release code, datasets, or other research artifacts. What You Will Get To Do Develop manipulation capabilities that address meaningful physical tasks in real environments. Investigate how skills transfer across objects, tasks, environments, and robot platforms. Address practical challenges such as uncertainty, contact, changing conditions, and failure recovery. Design experiments that measure task success, generalization, and reliability under realistic operating conditions. Integrate and validate research on physical robots, collaborating with engineering teams to address system constraints. Document findings, present results, and contribute to publications or reusable research tools. What You Have Current master’s or PhD enrollment in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, AI/ML, or a closely related field. Research experience in robotic manipulation, robot learning, embodied AI, or a related area. A strong research or open-source track record, demonstrated through substantive publications, research software, or technically rigorous projects. Clear ownership of original research or technical development, including implementation and evaluation. Strong foundations in robotics, machine learning, and experimental design. Proficiency in Python and/or C++. Ability to work independently, communicate findings clearly, and collaborate across research and engineering disciplines. The Extras That Set You Apart First-author publications at venues such as RSS, CoRL, ICRA, IROS, NeurIPS, ICLR, or ICML, or journals such as RA-L, T-RO, or IJRR. Significant contributions to open-source robotics or machine learning projects with demonstrated adoption. Hands-on experience taking research from an initial idea to reliable operation on physical robots. Experience evaluating robotic systems outside controlled laboratory conditions. Public research code, datasets, or robot demonstrations showing technical depth and measurable results. Experience with robot integration, sensing, control, or data collection infrastructure. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You Will Get To Do • Develop visual reasoning and inspection algorithm and pipeline for real-world deployments. Build inspection and various robot behaviors as reusable primitives. Integrate on-edge vision-language inference into the behavior loop under real compute and latency budgets. Develop the robot's reasoning and judgment legible and integrate it across the mission workflow. What You Have • MS in robotics, computer science, aerospace engineering, electrical engineering, or a related field, with 3+ years building software that runs on real robots. Strong C++ and Python, and hands-on ROS 2 experience designing nodes and systems that ship. Working knowledge of behavior trees and computer vision. Experience integrating learned models into a robotics system. What Will Set You Apart • Experience with open-vocabulary detection or visual grounding with VLMs on robots. GPU inference optimization on embedded hardware (TensorRT, quantization, ONNX). Thermal imaging or anomaly detection against reference imagery. Deployments on legged platforms in industrial environments. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the intersection of machine learning, distributed systems, and platform engineering. You will be responsible for designing scalable systems that support data processing, model training, evaluation, and post-processing pipelines while enabling ML teams to efficiently develop, operate, and scale production-grade workflows. You will play a critical role in defining the architectural patterns, tooling, and infrastructure that underpin our machine learning platform. What You'll Get To Do • Design and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows., • Architect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms., • Develop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development., • Optimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability., • Design systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency., • Partner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development., • Establish best practices and engineering standards for distributed machine learning infrastructure., • Evaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs., • Improve observability, debugging, monitoring, and operational tooling for distributed systems at scale.What You Have, • 5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems., • Strong Python programming skills, including experience with concurrency, performance optimization, and systems development., • Experience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies., • Experience designing and scaling data pipelines or machine learning workflows., • Strong system design skills with demonstrated expertise in scalability, reliability, and performance optimization., • Experience diagnosing and resolving bottlenecks in distributed environments., • Ability to work cross-functionally and drive technical decisions across multiple teams.The Extras That Set You Apart, • Experience building infrastructure for machine learning training and inference systems., • Familiarity with modern ML frameworks such as PyTorch or TensorFlow., • Experience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies., • Experience operating Kubernetes-based infrastructure and large-scale cloud systems., • Deep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management., • Experience with distributed debugging, observability, and workflow orchestration platforms., • Proven ability to establish technical direction and influence architecture across organizations. Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Embedded Compute Role: As an Embedded Compute Engineer on the Hardware Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains. What You Will Get To Do 1. Compute System Design Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection. Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces. Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements. 1. Compute System Implementation Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I²C, SPI, CAN). Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components. Systems Configuration: Create configuration files, launch scripts, and firmware update workflows. Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis. Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets. 1. Compute System Production & Servicing Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling. Debug: Support root-cause analysis for boot, connectivity, and throughput issues. Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools. Monitor compute system performance across CPU, GPU, memory, I/O, and networking. What You Have Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs). Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools. Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments. Programming: Proficient in C++ and Python for embedded and application-level development. Communication Protocols: Experience with USB, Ethernet, I²C, SPI, CAN, GMSL, and similar interfaces. ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing. Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers). Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You’ll Do • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding., • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2)., • Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines., • Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM)., • Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.What You Have, • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field., • 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks., • Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning., • Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar., • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing., • Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows., • Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production., • Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.The Extras That Set You Apart, • Experience working with BIM data, digital twins, or construction-related sensor data., • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations., • Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow., • Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning., • Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks)., • Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D., • Experience building custom modules for SparseConvNet or 3D transformers. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Lead Functional Safety Engineer to support systems-level design, integration, and validation for our wheeled robotic platforms across both federal and commercial programs. In this role, you will serve as the team’s resident safety expert and primary individual contributor, owning our approach to UGV functional safety. First, you will design and deploy a supervised safety system featuring remote E-Stops and indicator lights to ensure safe personnel interaction. Next, you will lead the transition to a non-line-of-sight autonomous safety architecture. You will architect the system, get hands-on with configuring the PLCs, and ensure seamless control handoffs between the safety hardware, human operators, and the autonomy stack. This is a highly impactful role for a hands-on engineer who can drive our immediate safety milestones and lay the groundwork to build and lead a dedicated safety team as the company scales. What You Will Get To Do 1. Safety System Architecture & Design Architect the functional safety systems for COTS UGV platforms navigating unstructured construction environments. Design and implement supervised safety systems, including remote E-Stops and safe-to-approach indicator lighting. Design and implement non-line-of-sight safety architectures, defining the use of safe limited speed, collision avoidance, and automatic braking to enable autonomous operations without a safety operator in line-of-sight 1. Hands-on Hardware Configuration Select, integrate, and configure Safety PLCs, safety lidars, and related hardware components. Work closely with the Electrical Engineering team to guide wiring diagrams, harness designs, and physical integration of safety hardware. Directly write, implement, and test ladder logic and safety configurations on the PLCs. 1. Autonomy & Human-Machine Interface Integration Design and implement safe transitions of control, allowing a human operator to seamlessly take over via an E-Stop/RC unit to unstick a robot, and safely transfer control back to the autonomy stack. Ensure all vehicle safety states are clearly communicated to on-site personnel through visual indicators and lighting. Collaborate with the core software team to establish reliable interfaces between hardware safety loops and high-level autonomy software. 1. Field Deployment & Testing Deploy, verify, and validate safety systems directly on physical robots operating in real-world construction environments. Troubleshoot, debug, and optimize system configurations to ensure maximum reliability and uptime in the field. 1. Technical Leadership & Scalability Serve as the resident functional safety expert, filling critical knowledge gaps and guiding technical strategy for the broader engineering team. Establish scalable safety testing and validation procedures for future vehicle platforms. Act as a foundational team member with the opportunity to hire, mentor, and build out a dedicated safety engineering team in the future. What You Have BS or MS in Electrical Engineering, Mechatronics, Computer Engineering, or a related field with significant relevant industry experience. Deep, hands-on expertise in configuring, programming, and debugging Safety PLCs. Proven experience selecting and integrating hardware safety components such as remote E-Stops, safety relays, and safety lidars. Strong ownership mindset with the ability to operate as a self-directed individual contributor and technical authority. Ability to collaborate effectively with electrical engineers (for wiring/integration) and software engineers (for system handoffs). The Extras That Set You Apart Familiarity with relevant safety standards (e.g., ISO 13849, ISO 3691-4, IEC 61508, or ANSI/RIA R15.08). Prior experience working with robotics, autonomous vehicles, off-road equipment, or heavy machinery. Experience deploying systems in demanding environments like construction, mining, or agriculture. Familiarity with software interfaces (ROS/ROS2, C++) to better understand the handoff between safety systems and the autonomy stack. Previous experience serving as a technical lead or mentoring junior engineers. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Software Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs As a Robot Autonomy Engineer - Software at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen. What You’ll Get To Do Drive strategic integration, debugging, and rapid capability development while providing essential software support Build robust utilities and tools to facilitate integration and automated testing for system software builds Provide high-level technical expertise and analytical insights to advance the development of robust software architectures What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research Proven expertise in software engineering across the full program lifecycle, with a focus on early-stage system design and development. Experience/Familiarity with robotics middleware such as ROS / ROS 2 or similar distributed robotics software systems Experience/Familiarity with distributed systems (multiple nodes, real-time comms) Experience/Familiarity with embedded systems (C/C++ on constrained hardware) Ability to work effectively across adjacent domains, including software, electronics, networking, and mechanical interfaces Proven track record managing complex programs with multiple dependencies in agile/hybrid frameworks Excellent written and verbal communication skills; comfortable presenting to executives and diverse audiences Strong analytical capabilities, with experience in financial modeling, ROI analysis, and tracking KPIs Ability to thrive in fast‑paced, high‑growth startup environments; proactive, adaptable, resilient The Extras That Set You Apart Experience deploying, operating, or maintaining mission-critical systems in real-world environments. Experience using Jira or Wrike or Confluence or other program management software tools Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions. Excellent communication skills, with the ability to explain technical concepts to non-technical users. Willingness to travel and work on-site with customers as needed. Compensation The salary range for this role is $100,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our HQ in Irvine, CA. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.