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Eleven Recruiting is searching for a Senior Program Manager to join one of our largest Aerospace Manufacturing clients sitting onsite in Santa Ana, CA. The Program Manager will be overseeing the delivery of complex commercial, military, and space component programs. This individual will be responsible for managing the full product lifecycle — from development through production — ensuring all program objectives related to cost, quality, delivery, and customer satisfaction are met. The Program Manager will serve as the primary liaison between internal teams and external customers, maintaining strong control over schedules, budgets, and technical execution. Responsibilities: • Serve as the primary point of contact for customer communications regarding program schedules, technical requirements, contract deliverables, and status updates., • Manage and coordinate customer orders, engineering changes, change requests, and RFQs., • Maintain full financial ownership of assigned programs, including tracking costs, forecasting, earned value analysis, and internal/external reporting., • Lead cross-functional teams across engineering, manufacturing, quality, and supply chain to achieve program milestones and resolve issues., • Ensure compliance with all internal procedures, customer specifications, and regulatory standards (e.g., AS9100, ITAR)., • Drive accountability by using KPIs, earned value metrics, and program reviews to monitor performance and course-correct when needed., • Lead risk identification and mitigation planning to maintain program stability., • Coordinate the timely delivery of hardware/software and contract data requirements., • Provide detailed reporting and recommendations to senior leadership and customers., • Support new business proposals and assist with developing cost and technical narratives., • Champion a culture of operational excellence, continuous improvement, and proactive problem-solving. Qualifications: • Bachelor's degree in Business, Manufacturing, Engineering, or a related technical field is required., • Minimum of 10 years of program or project management experience in the aerospace or defense industry., • Proven success in managing complex aerospace or space-related programs through the full product lifecycle., • Experience working with aerospace primes and Tier 1 customers such as Boeing, Lockheed Martin, Northrop Grumman, SpaceX, or the U.S. Department of Defense., • Strong technical understanding of aerospace product development, including fabrication, composites, ducting systems, and mechanical assemblies., • Knowledge of AS9100D quality standards, ITAR/EAR compliance, and defense industry requirements., • Demonstrated ability to lead teams through development, prototyping, production, and delivery., • Skilled in coordinating with manufacturing, quality, supply chain, and engineering to meet customer requirements and resolve production issues., • Proficient in MRP/ERP systems to support material and production planning., • Advanced financial acumen; experienced in cost analysis, scheduling, budgeting, and earned value management., • Strong command of Microsoft Office, including MS Project, Excel, and PowerPoint., • Excellent communication skills, both written and verbal, with a strong customer-facing presence., • Ability to lead in a fast-paced, deadline-driven environment with a high level of ownership and accountability. Salary: $150,000 - $175,000

Job Description Location: Irvine, CA (5 days onsite) Type: Full-time About Field AI Field AI is building advanced AI systems to power real-world autonomy. As a fast-growing company at the forefront of innovation, we move quickly and operate with high standards, supporting leaders who are shaping the future of AI. Role Overview We are seeking a highly organized, proactive, and resourceful Executive Assistant to support our C-level leadership. This role is critical to the day-to-day effectiveness of our leadership team. You will act as a trusted partner, managing priorities, anticipating needs, and ensuring seamless operations across scheduling, communications, and executive initiatives. What You’ll Get To Do • Manage complex and dynamic calendar scheduling across multiple time zones, prioritizing meetings and resolving conflicts, • Coordinate domestic and international travel, including itineraries, scheduling details, and expense reconciliation, • Serve as a gatekeeper for the C-level leadership’s time, ensuring focus on highest-impact priorities, • Support meeting preparation, including agendas, materials, note-taking, and follow-ups on action items, • Draft and manage communications on behalf of the C-level leadership, including emails and internal updates, • Partner cross-functionally with leadership and other stakeholders to drive alignment and execution, • Plan and coordinate executive meetings, events, and offsites, • Maintain confidential files, documents, and records with a high level of discretion, • Anticipate needs, solve problems proactively, and improve administrative processes for efficiency, • Support special projects and initiatives as neededWhat You Have, • 5+ years of experience supporting senior executives, ideally at the C-suite level, • Strong organizational skills with exceptional attention to detail, • Ability to manage competing priorities in a fast-paced environment, • High level of professionalism, judgment, and discretion with confidential information, • Excellent written and verbal communication skills, • Advanced proficiency in Google Workspace and/or Microsoft Office tools, • Ability to work onsite in Irvine, CA, five days per weekThe Extras That Set You Apart, • Experience supporting a C-level leadership directly, • Background in a high-growth startup or fast-paced environment, • Experience coordinating across global teams and time zones, • Proactive, resourceful, and highly self-directed working styleCompensation and BenefitsOur 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 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 RevolutionTo 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. 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. We are looking for a Software Engineer, Verification and Validation (V&V), Perception to join our Autonomy V&V team and help ensure the performance, robustness, and reliability of our robotic perception stack in real-world operating conditions. In this role, you will focus on the independent verification and validation of perception software that is designed and developed by our Perception team, helping provide objective assessment of system readiness, performance, and quality. You will work closely with Perception, Autonomy, Systems, Hardware, and Field Test teams to define validation strategies, execute test campaigns, analyze failures, and communicate results. This role is ideal for someone who enjoys being the technical bridge between development and release quality, bringing rigor, independence, and strong engineering judgment to the evaluation of perception capabilities built on LiDAR, cameras, radars, GPS, and IMUs.What You'll Get To Do: Independently validate perception software developed by the Perception team Evaluate perception software from a V&V perspective to ensure it meets system and product requirements. Provide objective verification of functionality, robustness, and release readiness. Work closely with developers while maintaining an independent quality and validation role. Define validation strategies for perception systems Create V&V plans for LiDAR, camera, GPS, and IMU-based perception systems across sensor, module, and system levels. Convert product and engineering requirements into clear, testable validation criteria. Establish performance metrics, quality gates, and release readiness criteria. Design and execute perception test coverage Develop test cases for nominal, edge-case, and degraded sensor conditions. Validate performance across simulation, replay, and real-world test environments. Ensure coverage across environmental, operational, and sensor failure scenarios. Analyze failures using logs and datasets Investigate issues using recorded sensor logs, replay tools, and annotated datasets. Perform structured root-cause analysis on perception and sensor-related failures. Partner with the Perception team to reproduce issues, clarify expected behavior, and verify fixes. Build scalable validation and regression workflows Improve repeatable validation through automation, replay, and simulation-based testing. Support regression coverage across software releases and perception updates. Contribute to clear reporting and measurable quality tracking. Drive cross-functional release confidence Collaborate with Perception, Autonomy, Systems, Hardware, and Field teams on validation priorities and readiness. Communicate risks, findings, and recommendations to technical stakeholders. Support data-driven release decisions with clear, independent validation evidence. What You Bring: 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 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. 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. We’re seeking a skilled and motivated Software Engineer, Developer Infrastructure to design, build, and maintain the internal systems that power our engineering organization. In this role, you will own development environments, tooling infrastructure, and build systems that enable teams across robotics, web, AI/ML, and data to ship reliably and efficiently. You’ll work closely with developers, DevOps, and infrastructure teams to improve code quality, developer velocity, and system consistency across our monorepo. This is a high-leverage role with broad impact across the company’s engineering output. What You'll Do: Build and maintain containerized development environments Develop and enforce automated code quality and style checks Design and maintain internal CLI tools and developer workflows Own and improve monorepo build systems, file structure, and documentation Partner with robotics, web, data, and ML teams to support their development needs Improve developer velocity, reliability, and consistency across the codebase What You Bring: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 3–7 years of software engineering experience Strong programming or scripting skills (Python or similar) Hands-on experience with Docker or other containerization technologies Solid understanding of Linux systems and development environments Strong problem-solving skills and ability to collaborate across teams What Sets You Apart: Experience with build systems such as Bazel or Nx Experience supporting robotics software stacks (e.g., ROS, real-time systems, sensor integration) Hands-on experience designing or maintaining CI/CD pipelines (e.g., GitHub Actions) 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 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. 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. We are seeking a Senior / 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 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. 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 DescriptionField 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. Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? Field AI is looking for a Robotics Autonomy Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results if you’re a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!What You'll Get To Do1. Autonomy Engineering • Develop algorithms to assess environmental conditions and support autonomous decision-making, • Design evaluation frameworks to measure the performance of perception and navigation systems, • Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment, • Create systematic approaches to validate and improve system predictions across diverse operating scenarios, • Collaborate across perception, planning, and controls to develop benchmarks and metrics for system-wide performance 2. Autonomy Systems Engineering, • Evaluate and design trade-offs between compute, latency, power, and other key performance metrics for robotic systems., • Integrate diverse software modules, ensuring seamless communication and synchronization across components., • Establish and maintain system performance metrics to identify bottlenecks and optimize system behavior., • Conduct iterative testing and refinement to ensure systems meet real-world demands and constraints 3. Software Integration and Testing, • Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules., • Conduct simulations and field tests to validate performance and optimize system behavior. 4. Hands-On Robotics Deployment, • Collaborate with hardware teams to ensure seamless software-hardware integration., • Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions. 5. Cross-Team Collaboration, • Work closely with other engineering teams to align development efforts and achieve cohesive system performance., • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.What You Have, • US Person: Required due to export control regulations and project requirements., • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions., • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field., • Strong Programming Skills: Proficiency in Python and C++ for algorithm development and system integration. Experience with GPU programming (CUDA C++, PyTorch) a plus., • Understanding of System Integration and Engineering for Autonomous Systems: Solid cross-domain knowledge across a wide range of robotic autonomy modules, including localization, perception, planning, and controls., • Willingness to Travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel)., • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.What Will Set You Apart, • Experience with real-time systems or robotics middleware., • Familiarity with sensor integration and perception algorithms., • Knowledge of machine learning techniques applied to robotics., • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing., • Experience working in harsh or outdoor environments., • Experience working with offroad vehicles / offroad driving, • Advanced degree (Bachelors, Master’s) in Robotics, Computer Science, Electrical Engineering, or a related field., • Understanding of safety standards and compliance in robotics. 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 and BenefitsOur 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 RevolutionTo 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. 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 Operations Technician Role As an Assembly Technician for Perception & Compute Payloads, you will be a hands-on contributor responsible for assembling, integrating, and validating Field AI’s sensing and compute payloads. You will build electro-mechanical subsystems, integrate sensors and embedded compute platforms, perform harnessing and power system checks, support functional testing, and ensure every payload is field-ready and reliable. This role bridges mechanical assembly, electrical integration, and practical system-level debugging. You will support both prototype development and production workflows while working closely with engineers to improve build processes and increase system reliability. What You’ll Get To Do 1. Payload Assembly & Integration ● Assemble perception payloads including LiDAR, cameras, IMUs, GPS receivers, and auxiliary sensors using engineering drawings and build instructions. ● Install and integrate CPU/GPU compute modules, carrier boards, and microcontroller-based subsystems. ● Build and route wire harnesses for power, high-speed data, synchronization, and control. ● Install mounts, enclosures, gaskets, seals, thermal components, and structural hardware. 1. Electrical, Power, and Communication Bring-Up ● Perform continuity checks, grounding/EMI checks, and power-rail validation. ● Assist in bring-up of Linux- or ROS2-based embedded compute systems. ● Validate communication links across Ethernet, USB, CAN, GMSL, and other interfaces. ● Verify correct pinouts and harness strain-relief practices. 1. System Testing & Quality Assurance ● Run functional tests including sensor bring-up, calibration checks, compute boot/health tests, and network verification. ● Document test results, deviations, rework, and repair actions with high accuracy. ● Support environmental, vibration, mechanical alignment, and thermal characterization tests led by hardware engineers. ● Conduct inspections for workmanship quality, mechanical stability, and electrical safety. 1. Debugging & Continuous Improvement ● Diagnose wiring faults, mechanical misalignments, intermittent communication issues, thermal faults, and other integration failures. ● Work closely with electrical, mechanical, and compute engineers to root-cause issues and improve build processes. ● Provide feedback on assembly workflows, documentation clarity, and opportunities to streamline production. 1. Field & Operations Support ● Prepare, stage, and service payloads for real-world deployment. ● Support integration and troubleshooting activities during lab tests, field trials, and live demonstrations. ● Perform rapid repairs and reconfigurations in dynamic testing environments. What You Have ● 2+ years of hands-on technician experience in robotics, aerospace, electronics, automotive, or related electro-mechanical assembly environments. ● Proficiency with hand tools, power tools, torque drivers, and basic machine-shop tools. ● Ability to read and follow wiring diagrams, mechanical drawings, and assembly instructions. ● Experience building wire harnesses and working with low-voltage electrical systems. ● Familiarity with embedded compute systems, sensors, or robotics hardware. ● Strong attention to detail, documentation discipline, and ability to deliver reliable assemblies. ● Ability to lift up to 50 lbs. and work in workshop, lab, or field environments. The Extras That Set You Apart ● Experience working with perception systems such as LiDAR, cameras, radar, or IMUs. ● Familiarity with Linux, ROS2, or embedded system bring-up workflows. ● Soldering, crimping, or IPC-certified workmanship skills. ● Understanding of thermal management, weather sealing, EMI/EMC basics, and ruggedized mechanical design. ● Experience supporting prototype builds, rapid iteration cycles, or field test deployments. ● Ability to design or suggest simple fixtures or jigs to improve assembly and repeatability. ● Experience assembling complex electro-mechanical systems, especially robotics, drones, or ruggedized field hardware. Compensation The salary range for this role is $60,000-$90,000. 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. 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. We are hiring a Senior Product Manager to own product definition within our Construction portfolio. This role focuses on building durable, scalable product capabilities for construction workflows such as construction activities, inspection, and verification in environments where ground truth is noisy and customer expectations vary widely.This is not a delivery or project management role. Success comes from defining clear product boundaries, supported use cases, and non-goals, and ensuring that engineering, sales, and delivery teams operate from a single product truth.What You Will Get To Do: • Own product definition for construction-focused capabilities, including scope, configurations, and constraints, • Define supported construction workflows and explicitly document what is out of scope, • Translate field realities into scalable product direction without customer-specific customization, • Make prioritization and tradeoff decisions that favor reuse and long-term product integrity, • Partner closely with engineering, robotics, and AI teams on feasibility and sequencing, • Serve as the product authority for construction scope questions and escalations, • Prevent fragmentation across customers, projects, and deploymentsWhat You Bring:, • 6 to 10 years of product management experience on complex or technical products, • Experience working with construction technology, field-deployed systems, or operational software, • Experience with construction activities, inspection, or reality capture workflows, • Familiarity with BIM, VDC, or construction operations, • Strong product sense and comfort making decisions with incomplete information, • Proven ability to say no to protect product boundaries, • Clear written and verbal communication skillsWhat Will Set You Apart:, • Background working with robotics, perception, or AI-driven systemsOur 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 RevolutionTo 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. 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 seeking an innovative Senior Software 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 Will Get To Do • Semantic Scene Graph & Navigation: Develop and integrate a semantic scene graph world model to enable real-time spatial reasoning, context-aware mission planning, and natural language-driven robotic navigation., • LLM API & Mission Autonomy Integration: Design and implement API frameworks that allow Large Language Models (LLMs) to interface with robotic autonomy stacks, enabling seamless language-based mission execution and feedback handling., • Testing & Validation Frameworks: Maintain and expand the robotics testing framework through the development of unit and integration tests to ensure system reliability, safety, and performance.What You Have PhD in Computer Science or a related field. Advanced proficiency in Python programming, C++, ROS, Linux, Git 5+ years experience with product level AI software (e.g. state machines, behavior trees) Ability to effectively and efficiently communicate with all teams 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 What Will Set You Apart Proficiency in C++ programming Experience with simulation environments (e.g., Gazebo, Isaac Sim) Experience with LLM-based decision-making frameworks in robotic systems 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. 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 DescriptionField 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 advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments., • You’ll 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 hits the ground (literally) — 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., • 2. 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., • 3. 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., • 4. 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, • 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 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, 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., • 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 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 RevolutionTo 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 DescriptionField 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 ROS Developer, you will play a critical role in developing advanced robotic applications built on our autonomy API for diverse real-world industries, including oil & gas, construction, and mining. You will focus on designing, implementing, and optimizing perception, localization, and control modules using ROS/ROS2 to create production-grade software for autonomous systems operating in some of the world's harshest environments. This role is ideal for engineers passionate about sensor integration, robust system development, and deploying scalable autonomy solutions tailored to high-impact industrial applications.What You Will Get To Do • Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and control., • Integrate and calibrate multi-modal sensors (LiDAR, thermal, RGB, GPS, IMU) for use in autonomous missions., • Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic., • Implement and optimize real-time data processing pipelines using C++ and Python., • Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making., • Design and test autonomous behavior on physical platforms in real-world field scenarios., • Troubleshoot robotic systems at the hardware-software interface and develop diagnostics and recovery systems.What You Have, • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field., • Strong software engineering skills, with proven experience building production-quality robotics applications., • Expertise in C++ and Python, writing clean, efficient, and maintainable code using modern best practices., • Hands-on experience developing with ROS/ROS2, including designing, building, and deploying custom nodes into complex robotic systems., • Solid understanding of localization, SLAM, sensor fusion, and navigation systems., • Familiarity with sensor integration (LiDAR, thermal, RGB, depth, GPS, IMU) and multi-modal data handling., • Practical experience with state estimation frameworks and real-time data processing pipelines., • Comfortable working with system-level topics like networking, inter-process communication (IPC), and middleware., • Strong problem-solving skills and attention to detail, able to work 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 environments (construction, mining, oil & gas, or similar industries)., • Familiarity with noisy sensor data and building robust, resilient algorithms., • Experience integrating robotic systems with web services, APIs, and cloud infrastructure., • Background in working with computationally constrained platforms and optimizing for real-time performance.Compensation and BenefitsOur 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 RevolutionTo 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. 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. 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 reinforcement learning-based 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 • 1. Design and Own RL-Based Locomotion Pipelines, • Architect and implement scalable reinforcement learning (RL) pipelines optimized for locomotion and manipulation., • Integrate physics-based simulation environments (Isaac Gym, Isaac Lab, MuJoCo) with custom training workflows., • Develop reward functions, policy architectures, and domain randomization strategies that close the sim-to-real gap. 2. Deploy Locomotion Behaviors on Physical Robots, • Create agile, robust locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware., • Solve real-world challenges in balance, contact-rich dynamics, high-DOF coordination, and terrain variability., • Drive iterative testing across terrain variability and unstructured environments. 3. Build and Scale Simulation Infrastructure, • Build scalable training environments using GPU-accelerated simulators., • Automate evaluation across domain-randomized scenarios and domain adaptation protocols., • Maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility. 4. Collaborate Across the Full Robotics Stack, • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution., • Incorporate real-world telemetry and field data to continuously improve model generalization., • Lead deployment workflows from experiment through lab testing to field robot validation.What 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., • Hands-on experience with legged robot platforms (quadrupeds, bipedal systems, or exoskeletons)., • Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet., • Strong command of sim-to-real transfer — domain randomization, system identification, adaptive methods, 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, TensorFlow)., • A passion for building things that move in the real world.The Extras That Set You Apart, • 3+ years of experience in an industry or startup robotics setting., • Experience deploying neural network controllers on resource-constrained robotic platforms (real-time inference, onboard compute)., • Publications or open-source contributions in locomotion, RL, or control., • Familiarity with ROS/ROS2 or custom middleware for real-time control., • Background in manipulation, loco-manipulation, or whole-body coordination., • 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 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 RevolutionTo 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. 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. We're looking for an Engineering Lead, Effectiveness & Delivery to design and implement the engineering systems, tooling, and workflows that make our organization faster, more reliable, and more connected — from how we identify and resolve bugs, to how we plan and deliver software, to how work flows across product, engineering, QA, and field teams. This is a high-leverage role where you will architect solutions that directly improve how every engineer at FieldAI ships software. This is a hands-on engineering role, not a coordination role. You will diagnose systemic problems, design solutions, build and ship them, and measure the results. You'll need deep engineering judgment, a strong sense for developer experience, and the ability to earn trust across teams through the quality of your work. What You'll Do Architect and implement engineering workflow improvements that measurably reduce bug cycle time — from issue identification through triage, assignment, and resolution Redesign and consolidate our Jira project architecture into a unified workspace that eliminates fragmentation, improves cross-team visibility, and reduces overhead for engineers Design and build triage and routing systems, automation, and integrations that remove manual friction from how issues move through the organization Establish engineering-led delivery practices — work decomposition standards, estimation frameworks, and definition-of-done criteria — that make project execution more predictable without adding unnecessary process Design lightweight systems that give engineering leadership accurate, real-time visibility into progress, risk, and capacity Identify and remove structural bottlenecks in how work flows from planning through delivery, diagnosing root causes rather than treating symptoms Build and implement end-to-end toolchain integrations that create traceability from product intent through engineering work, QA validation, and field outcomes Define engineering-owned interfaces and contracts between functions — establishing clear, enforceable definitions of what "ready for engineering," "ready for QA," and "ready for field" actually mean Evaluate, select, and integrate tooling that gives each function appropriate visibility without requiring manual synchronization or status reporting What You Bring to the Table • Strong software engineering background with experience in senior engineering or technical leadership roles, • Track record of improving engineering velocity, delivery predictability, or operational maturity in a meaningful, measurable way, • Deep familiarity with modern engineering toolchains — CI/CD, issue tracking, project management systems, observability, and developer productivity tooling, • Systems thinking: you see organizational friction as a design problem and approach it with the same rigor you'd apply to a distributed systems architecture, • Experience consolidating, redesigning, or scaling engineering infrastructure and workflows across multiple teams, • Strong ability to influence and drive adoption across teams without relying on positional authority, • Excellent judgment about when to introduce process and when to remove it — you optimize for engineering output, not process complianceWhat Will Set You Apart, • Experience building or leading developer experience, engineering productivity, or engineering operations functions, • Hands-on experience redesigning Jira, Linear, or similar project management architectures at scale, • Background in building integrations and toolchain automation across product, engineering, QA, and field/deployment teams, • Experience in robotics, hardware-adjacent, or field-deployed software environments where the feedback loop between engineering and the field is critical, • Familiarity with engineering metrics and measurement (cycle time, lead time, deployment frequency, MTTR) and how to use them to drive improvement without creating perverse incentives 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 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. 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. FieldAI is building web-based products that bring real-world data from robotics and AI systems into intuitive, customer-facing applications. We’re looking for a Full-Stack Software Engineer to design and build scalable web applications in a modern TypeScript / React / Node.js environment. You will own features end-to-end — from backend services to frontend user experiences — and play a key role in shaping how customers interact with our platform. This is a hands-on role for engineers who enjoy shipping production systems, working across the stack, and building products used in real-world environments. What You'll 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 Bring: 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 What Sets 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 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. 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 looking for a highly analytical and execution-oriented operator to work closely with the CFO on the company’s most important strategic initiatives. This role sits at the intersection of finance, strategy, operations, and external partnerships, supporting critical decisions as we scale across customers, products, and markets. The ideal candidate combines strong financial and strategic thinking with the ability to operate in fast-moving, technically complex environments. You will work cross-functionally across leadership, engineering, go-to-market, and external stakeholders to drive execution on high-impact initiatives across AI, robotics, and real-world infrastructure deployments. What You Will Do Partner directly with the CFO and leadership team on high-priority strategic, operational, and commercial initiatives Support strategic partnerships, financing activities, market expansion opportunities, and other high-impact corporate initiatives Conduct market, competitive, operational, and financial analysis across robotics, AI, industrial, manufacturing, and infrastructure sectors Evaluate new business opportunities, strategic relationships, and adjacent market opportunities Own projects end-to-end from analysis through execution across internal and external stakeholders Lead cross-functional initiatives spanning finance, operations, engineering, and go-to-market teams Analyze company performance and key business drivers to support strategic decision-making Build and improve internal processes to increase efficiency and scalability across the organization Develop materials and recommendations for executive leadership, investors, customers, and strategic partners Work closely with senior leadership on company-critical decisions and initiatives Required Qualifications 4–8 years of experience across investment banking, private equity, consulting, strategic finance, corporate strategy, or high-growth technology companies Intellectual curiosity around AI, robotics, and real-world deployment challenges Strong analytical, problem-solving and financial modeling skills Comfortable operating in technically complex environments and collaborating closely with engineering, product, and operational teams Bachelor’s degree in a quantitative or technical field such as Engineering, Economics, Finance, Mathematics, Physics, or Computer Science Preferred Qualifications Prior experience at a high-growth startup or operating company Experience within industrials, infrastructure, aerospace & defense, enterprise technology, robotics, AI, manufacturing, energy, construction, logistics, or related sectors Exposure to strategic partnerships, financings, investor relations, corporate development, or other transaction-oriented initiatives Location Irvine / Orange County preferred 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 RevolutionTo 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. 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. We’re looking for a Software Engineer to build the connectivity layer powering FieldAI’s robotic platforms in the real world. In this role, you’ll design and deploy low-latency, high-reliability communication systems that enable seamless, real-time interaction between robots and remote operators. You’ll work across cellular networks (4G/5G), edge-to-cloud systems, and distributed device infrastructure to ensure robust performance in dynamic, unpredictable environments. You’ll tackle hard problems like network handoffs, intermittent connectivity, and maintaining real-time performance under mobility, interference, and degraded conditions. This includes building systems that gracefully adapt to changing network quality while preserving responsiveness and reliability. This is a deeply hands-on role at the intersection of robotics, networking, and distributed systems. Your work will directly determine how our robots perceive, communicate, and operate in the field. What You Will Get To Do • Build low-latency, bidirectional audio/video streaming systems for telepresence and teleoperation, • Design and optimize real-time communication over private 5G and heterogeneous networks, • Monitor and improve network performance (latency, jitter, packet loss, throughput) in dynamic environments, • Implement QoS strategies, congestion control, and adaptive streaming for reliable operation, • Develop, test, and deploy communication systems directly on robotic platforms, • Ensure robust performance under mobility, degraded connectivity, and real-world conditionsWhat You Have, • MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related field, • Strong experience building real-time or near real-time communication systems (e.g., TCP/UDP, RTP/RTCP, WebRTC), • Solid understanding of networking fundamentals, especially in wireless and cellular contexts (latency, jitter, handoffs, bandwidth constraints), • Experience working with Linux networking and debugging tools (e.g., tcpdump, iperf, ss, iw), • Familiarity with distributed systems and device-to-cloud communication architectures, • Experience developing and validating systems on physical hardware, not just simulations, • Working knowledge of ROS/ROS2 or similar frameworks for distributed robotic systemsWhat Will Set You Apart, • Experience deploying systems over cellular networks (LTE/5G), including private 5G setups, • Background in telepresence, teleoperation, or real-time audio/video streaming systems, • Deep understanding of adaptive bitrate, congestion control, QoS, and fault-tolerant networking, • Experience with media and streaming frameworks (e.g., WebRTC, GStreamer, RTP pipelines), • Familiarity with mesh networking or device-to-device communication systems, • Experience designing systems that gracefully handle intermittent connectivity and mobility, • Strong ownership mindset, from system design through real-world deployment and iterationOur 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. 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.What You'll DoMapping & Localization Improve ICP/GICP/NDT registration workflows Support SLAM and localization pipelines across mapping systems Improve scan stitching accuracy and mapping robustness Optimize point cloud registration and alignment workflows Improve localization performance across large-scale operational environments Point Cloud Processing & Optimization Improve point cloud processing performance and scalability Support geometric optimization and scan matching workflows Debug and improve existing mapping and localization systems Contribute to mapping quality and operational reliability improvements Cross-Functional Collaboration Partner closely with mapping, robotics, and deployment teams Support downstream processing and operational deployment workflows Help improve deployment readiness and mapping scalability Contribute to debugging and operational problem-solving across mapping systems What You Bring Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field 3–5 years of industry or applied robotics experience Strong experience with SLAM and localization systems Experience with ICP/GICP/NDT registration techniques Strong understanding of point cloud registration and scan matching Strong modern C++ engineering skills Experience working within production robotics or mapping environments Strong debugging and systems-thinking capability Ability to operate effectively in fast-moving startup environments Ownership mentality with strong execution and problem-solving instincts What Sets You Apart Experience with LiDAR-based mapping systems Experience with robotics middleware Background in robotics, autonomy, industrial scanning, or localization systems Familiarity with PCL (Point Cloud Library) Experience balancing research ideas with production engineering realities Strong operational and deployment-oriented mindset 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. 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 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 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. Ability to work on US government project 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. 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 and BenefitsOur 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 RevolutionTo 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. 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 The Infrastructure Security Engineer will secure the cloud infrastructure and deployment platforms powering FieldAI’s autonomous robotic systems. You will work closely with engineering teams to design, assess, and improve the security of large-scale distributed systems operating in production environments. This is a hands-on engineering role focused on Kubernetes security, cloud-native infrastructure, CI/CD systems, software supply chains, identity and access management, and production deployment platforms. Your work will directly impact the reliability, resilience, and security of critical infrastructure supporting real-world autonomous system operations. What You’ll Get To Do • Design and improve the security architecture of cloud-native infrastructure and Kubernetes environments, • Secure CI/CD systems, software supply chains, build pipelines, and deployment workflows, • Improve identity, authentication, secrets management, and access control across production systems, • Harden Kubernetes clusters, containerized workloads, and runtime environments against modern attack vectors, • Conduct threat modeling and security reviews across infrastructure and operational systems, • Partner closely with engineering teams to integrate practical security controls into development and operational workflows, • Investigate vulnerabilities affecting production infrastructure and help drive remediation and resilience improvements, • Help define security standards and best practices for large-scale distributed systems and operational infrastructureWhat You Have, • Bachelor’s degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical field, • 5+ years of experience in infrastructure security, cloud security, platform security, SRE, or related domains, • Strong software engineering, systems engineering, and networking fundamentals, • Experience securing cloud infrastructure and distributed production systems, • Experience with Kubernetes, containerized environments, CI/CD systems, and infrastructure automation, • Familiarity with identity and access management, secrets management, authentication systems, and secure infrastructure design, • Experience with threat modeling, security architecture reviews, vulnerability management, or adversarial security assessments, • Strong collaboration and communication skills with the ability to work cross-functionally across infrastructure and engineering teams, • Practical engineering judgment and the ability to balance security, operational reliability, scalability, and development velocityThe Extras That Set You Apart, • Experience securing large-scale distributed or cloud-native systems, • Familiarity with software supply chain security, artifact signing, or build provenance systems, • Experience with runtime security, Kubernetes security, or production infrastructure hardening, • Background in platform engineering, SRE, infrastructure engineering, or cloud-native operations, • Experience with offensive security, penetration testing, or adversarial infrastructure assessments, • Experience supporting operationally critical or mission-critical production environmentsOur 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 status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 DescriptionField 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 Role We are looking for a Director of Matrix Operations & Organizational Efficiency to design, operate, and continuously refine a matrix-based organization in a fast-scaling technology company. This role owns the structure of how the organization works—not the content of the work itself. You will ensure that roles are well-defined, staffing is intentional, capacity matches demand, and organizational complexity does not quietly accumulate over time. You will work closely with project leaders, functional leaders, recruiting, and executive leadership to maintain a lean, clear, and adaptable organizational system that scales with the business.This is a high-leverage role for someone who thinks in systems, values clarity over comfort, and enjoys operating in ambiguous, founder-driven environments.What You’ll Do • Own and Operate a Matrix Organization, • Design, maintain, and evolve a matrix structure across projects and functions, • Work with project leaders to assess staffing adequacy, risk, and capacity needs, • Translate project demand into functional allocation and hiring priorities, • Ensure every project–function intersection has clear ownership and an explicit staffing plan, • Drive Organizational Clarity and Discipline, • Define and maintain clear, non-overlapping role responsibilities across the organization, • Continuously review roles for relevance, redundancy, and necessity, • Actively remove, merge, or simplify roles that no longer justify their existence, • Set a high bar for introducing new roles, requiring clear justification and scoped ownership, • Coordinate OKR and Performance Processes (Process Ownership Only), • Own the operational execution of the OKR cadence (timelines, inputs, tracking, summaries), • Ensure alignment between project goals, functional goals, and individual OKRs, • Prepare structured, review-ready materials for leadership using tooling and automation, • Focus on consistency, clarity, and signal—not performance evaluation or technical depth, • Partner with Executive Leadership, • Maintain accurate, forward-looking organizational views by function and by project, • Surface organizational gaps, capacity constraints, and scaling risks early, • Provide leadership with clear, data-backed insights into how the organization is deployed What You’re Good At, • Designing and running organizational systems, not just managing people, • Thinking in structures, incentives, and interfaces rather than titles and headcount, • Operating comfortably across ambiguity, incomplete data, and fast change, • Asking hard questions about why roles exist—and acting on the answers, • Creating clarity where others tolerate complexityExperience & Skills, • Experience operating in matrixed or multi-dimensional organizations, • Strong background in operations, organizational design, strategy, or program management, • Proven ability to work cross-functionally with senior leaders, • High operational rigor and attention to detail, • Strong written and verbal communication skills, • Comfort using tools, dashboards, and automation to scale processes, • Founder-mode mindset: ownership-oriented, pragmatic, and decisiveWhat This Role Is Not, • Not an HR role, • Not a recruiter, • Not a technical people manager, • Not a traditional project manager shipping deliverablesThis role exists to prevent organizational drift, not react to it.If you are energized by building lean, high-functioning organizations—and believe that structure is a competitive advantage—we’d love to hear from you. Compensation and BenefitsOur 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 RevolutionTo 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. 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 a Senior Machine Learning Platform Engineer, you will own the infrastructure that powers FiFM, from model hosting and distributed training pipelines to data systems, observability, and security.This is a role at the intersection of systems engineering and machine learning. You’ll design and operate large-scale ML platforms, ensure FiFM transitions smoothly from research into production, and optimize for both performance and cost across cloud and edge. In addition to building core infrastructure, you’ll play a leadership role by mentoring junior engineers, setting technical direction, and raising the engineering bar across the team.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 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. 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 DescriptionField 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. 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. 2. 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. 3. 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.Compensation and BenefitsOur 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 RevolutionTo 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. 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. We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic systems in controlled environments at our Irvine facility. In this role, you will work directly with robots, monitor system behavior, identify issues, and ensure reliable and safe operation prior to deployment. You will collaborate closely with engineering teams to surface bugs, validate fixes, and improve overall system quality. This is a highly practical, execution-focused role where you will be deeply involved in day-to-day testing and validation of physical systems. If you enjoy working with hardware, troubleshooting in real time, and being the final quality gate before systems ship, this role is for you. What You 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 What Sets 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 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. 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 DescriptionField 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. Electrical Systems Role:As an Electrical Engineer on the Hardware Team at Field AI, 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. 2. 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. 3. 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.Compensation and BenefitsOur 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 RevolutionTo 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. 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 DescriptionField 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, 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. 2. 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. 3. 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.Compensation and BenefitsOur 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 RevolutionTo 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. 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. We are seeking a skilled and motivated Software Infrastructure Engineer to join our engineering team. In this role, you will be responsible for designing, building, and maintaining the foundational systems and services that support our software development and deployment processes. You'll work closely with developers, DevOps, and IT teams to ensure our systems are scalable, reliable, and secure. This is an exciting opportunity to join a fast-growing company and support the success of enterprise clients in a dynamic environment.What You Will Get To Do • Design, build, and maintain core infrastructure components such as CI/CD pipelines, build systems, monitoring tools, and deployment frameworks., • Develop and implement scalable solutions for service reliability, observability, and performance., • Collaborate with development teams to optimize infrastructure for high availability and fault tolerance., • Automate infrastructure provisioning and management using tools like Ansible or similar., • Improve system efficiency by automating recurring tasks and eliminating manual processes., • Monitor system performance, troubleshoot issues, and ensure optimal uptime and security., • Maintain and enforce best practices in system design, security, and code quality.What You Have, • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience)., • 3+ years of experience in software engineering, DevOps, or infrastructure roles., • Strong programming/scripting skills in languages such as Python, TypeScript, or similar., • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration., • Familiarity with infrastructure-as-code tools (AWS CDK, etc.)., • Knowledge of monitoring and logging systems (e.g., Prometheus, Grafana, Sentry)., • Solid understanding of networking, Linux systems, and security best practices., • Excellent problem-solving skills and the ability to work collaboratively in a team environment.What Will Set You Apart, • Familiarity with robotics systems or infrastructure to support robotic applications (e.g., ROS, real-time systems, sensor integration)., • Exposure to distributed systems and microservices architectures., • Background in site reliability engineering (SRE) practices. 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 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. 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 Robot Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs As a Robot Autonomy Engineer 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 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. Compensation The salary range for this role is $70,000-$120,000. 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. 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 DescriptionAbout the Job: Robotics Software Engineer – Robot Integrations 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 lead the integration of new robotic platforms into our software stack and help make them reliable, controllable, and deployment-ready. You’ll develop and maintain robot drivers and interfaces spanning state, sensing, actuation, and control, while improving the performance and responsiveness of robots across a range of platforms. This role sits at the intersection of robotics software, controls, and systems integration. You’ll work closely with hardware and software platform teams to bring up new robots, improve existing integrations, and ensure our systems perform robustly in the lab and in the field. If you enjoy working directly with real robots, solving full-stack integration challenges, and turning complex hardware into dependable, high-performing systems, this is your role. This is Field AI. What You’ll Get To Do1. Lead Robot Integrations Bring up and integrate robotic platforms into Field AI’s software stack. Develop and maintain robot drivers and interfaces for sensing, state, command, and control. Build reusable integration patterns that support multiple robot types, including legged, wheeled-legged, wheeled, and humanoid systems. Work across vendor SDKs, middleware, and internal software abstractions to create robust platform support. 1. Build and Maintain Core Robot Software Interfaces Design and improve software components for robot state, calibration, timing, diagnostics, and control paths. Maintain reliable interfaces between onboard compute, sensors, actuators, and higher-level autonomy software. Debug issues across software, networking, hardware communication, and system configuration boundaries. Improve maintainability, observability, and robustness of robot integration infrastructure. 1. Continuously Improve Control Performance and Robot Behavior Profile end-to-end system performance from perception and state updates through command execution. Tune and refine control strategies to improve stability, responsiveness, and overall controllability. Analyze telemetry and on-robot behavior to identify bottlenecks and drive meaningful performance improvements. Help ensure each platform achieves strong motion quality and dependable real-world behavior. 1. Collaborate Across Hardware and Software Teams Partner closely with hardware teams during bring-up, validation, and troubleshooting of new robotic platforms. Work with software platform teams to improve tooling, deployment workflows, abstractions, and testing infrastructure. Support structured validation from bench testing to full robot trials. Contribute to best practices for integration, regression testing, and long-term platform support. What You Have Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or a Bachelor’s degree in one of these disciplines with relevant hands-on experience working with real robotic systems. Strong software engineering skills in C++ and/or Python in Linux-based environments. Hands-on experience working with real robotic systems through industry, research, or advanced project work. Experience integrating and debugging one or more robotic platforms, such as legged, wheeled-legged, wheeled, or humanoid robots. Familiarity with robotics middleware such as ROS/ROS 2 or similar distributed robotics software systems. 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. Ability to work effectively across adjacent domains, including software, electronics, networking, and mechanical interfaces. The Extras That Set You Apart Experience writing or maintaining robot drivers, SDK integrations, or hardware abstraction layers. Experience with communication interfaces and protocols such as CAN, EtherCAT, serial, UDP/TCP, or similar. Familiarity with control system tuning and performance profiling on physical robots. Exposure to calibration, synchronization, diagnostics, and deployment tooling for robotic platforms. Experience supporting robot bring-up from early integration through production-quality reliability. Familiarity with simulation, hardware-in-the-loop testing, or regression testing pipelines. Prior work in cross-functional environments involving robotics software, hardware, and platform teams. Compensation and BenefitsOur 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 RevolutionTo 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. 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. We’re looking for a Software Engineer, Test Infrastructure to build and scale the systems that ensure the reliability of FieldAI’s robotics platform. In this role, you will design and develop the infrastructure, tools, and automation that power testing across simulation and real-world environments. You’ll work closely with robotics, ML, and infrastructure teams to improve software quality, reduce manual testing, and increase confidence in every release. What You'll Do Design and build scalable test infrastructure and automation systems Develop frameworks for unit, integration, and system-level testing Improve reliability and coverage across simulation and real-world validation workflows Build tools to support debugging, test orchestration, and failure analysis Partner with engineering teams to identify gaps in testing and improve quality Integrate testing into CI/CD pipelines and developer workflows Improve test reliability, reduce flakiness, and increase signal from test systems What You Bring: 3+ years of experience in software engineering, test infrastructure, or automation roles Strong programming skills in Python Experience building testing frameworks, tools, or developer-facing systems Familiarity with Linux-based development environments Strong debugging and problem-solving skills Experience working closely with engineering teams on system quality What Will Set You Apart: Experience testing robotics, distributed systems, or infrastructure platforms Familiarity with simulation environments or system-level validation Experience with CI/CD systems and large-scale test automation Experience with containerization (e.g., Docker) Exposure to hardware-software integrated 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 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. 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. We're looking for a Senior Product Designer to craft the design voice for our product by creating polished customer interactive experience for a new category of technology. You'll bring a strategic design thinking, strong visual identity and aesthetic sensibility to everything you touch — defining the look, feel, and design language that makes our platform unmistakably FieldAI. Beyond the visual, you'll shape how customers operate their robots and unlock the insights and value that matter to their business. This isn't about a single screen or feature — it's about building a cohesive, intuitive experience for how humans work with autonomous robots at scale.What You'll Get To Do: Define and own the visual identity and design language across our customer interactive experience — establishing the aesthetic standard that makes every surface of the product feel premium, intentional, and cohesive Create and maintain a comprehensive design system, including design policies and primitives, visual style guide, design tokens, and documented interaction patterns that scale across the platform. Bring an intuitive sense to how users work with robots across a variety of sites, environments, and use cases — translating complex robotic operations into clear, elegant industrial workflows Design data products that communicate value — helping users not just see the rich data our systems generate, but understand what it means and act on it with confidence Own design ops end-to-end: establish governance, versioning, and contribution processes for the design system to ensure consistency as the product and team grow Collaborate closely with product, marketing, and engineering, teams to bring designs from concept to production — ensuring what ships matches the vision Champion the user through research, feedback, and advocacy — whether they're field operators, site managers, or enterprise decision-makers What You Bring: 5+ years of experience in systems design with a strong portfolio demonstrating visual craft and shipped digital products (complex platforms, interactive tools, or multi-layered applications preferred) Proven experience building and maintaining design systems from the ground up — including component libraries, style guides, design tokens, and usage documentation An understanding of Human-Robot Interaction (HRI) — whether through academic study, professional experience, or deep personal curiosity, you appreciate the unique challenges of designing for systems where humans and robots collaborate Expertise in Figma as your primary design tool Strong data visualization skills — the ability to make complex information clear, useful, and beautiful Systems thinking — you can craft a single interaction and understand how it fits into a broader platform and design language Excellent written and verbal communication skills — you can articulate design decisions, give and receive feedback gracefully, and collaborate across disciplines What Will Set You Apart: Experience designing for robotics, autonomous systems, IoT, or other hardware-software products Background in platform-level UX where information architecture, navigation patterns, and scalability are as important as any individual screen Familiarity with real-time data interfaces, mapping, or geospatial UX Experience designing for multi-site or multi-environment use cases Comfort with prototyping interactions and micro-animations Track record of establishing design culture and evangelizing design system adoption across engineering teams 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. 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 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 FieldAI is seeking a Vice President of Engineering to lead the engineering organization responsible for scaling our autonomous robotics platform from early deployments to large-scale, sustained field operations. This role works across software platforms and application engineering to ensure our robots, tools, and infrastructure are designed, tested, released, and operated with the rigor required for real-world autonomy at scale. You will partner closely with product, robotics, autonomy, and field operations leadership to align technical execution with a deployment-driven roadmap. This role blends technical depth, organizational leadership, and operational discipline, with a strong emphasis on reliability, repeatability, and system maturity.What You’ll Get To Do • Engineering Leadership and System Architecture, • Drive engineering efforts around a clear deployment-driven roadmap that supports reliable autonomous operation at increasing scale., • Guide the technical direction and architecture of FieldAI’s software stack, including on-robot systems, cloud services, data pipelines, and operator applications., • Ensure clear interfaces between autonomy, platform, and application layers to support parallel execution and scale., • Promote engineering practices that support long-lived, maintainable systems in safety-critical and operational environments., • Partner with product and autonomy leadership to translate deployment goals into concrete technical milestones and execution plans. Lead Software Platform Engineering, • Lead teams responsible for robotics QA, release processes, and validation pipelines that support predictable and safe software releases., • Guide development of automated testing infrastructure used for autonomy validation, regression testing, and deployment readiness., • Oversee autonomy analytics systems that collect, process, and analyze data from real deployments to measure performance, reliability, and system limits., • Guide software infrastructure efforts including CI/CD, dependency management, developer environments, documentation, and internal tooling., • Support cloud infrastructure for fleet operations, monitoring, data ingestion, ML workflows, and observability., • Collaborate with cybersecurity teams to ensure secure operation of on-robot and cloud systems. Lead Application Engineering for Robot Operations, • Lead application engineering teams building tools for robot operations, fleet management, mission planning, monitoring, and customer insight., • Ensure tight integration between robots, cloud services, APIs, and user-facing applications., • Support development of tools that reduce deployment effort, streamline onboarding, and automate triage and monitoring.Encourage clear separation between rapid operational support and longer-term platform evolution. Deployment Readiness and Execution, • Work with field and operations teams to ensure engineering systems support efficient, repeatable deployments., • Improve feedback loops from live operations into engineering through metrics, tooling, and structured processes., • Promote practices that reduce per-deployment engineering involvement over time through automation, documentation, and tooling., • Support uptime, reliability, and autonomy performance tracking across deployed robots. Planning, Prioritization, and Focus, • Establish clear planning and execution rhythms that align engineering teams around shared goals and timelines., • Improve visibility into team capacity, work in progress, and technical dependencies., • Help teams balance near-term operational needs with longer-term system improvements., • Support prioritization frameworks that keep engineering effort focused on the highest-impact work. Organization, Hiring, and Culture, • Mentor and develop senior engineering leaders across platform and application teams., • Partner with leadership to shape hiring plans, onboarding processes, and team composition., • Encourage engineering practices that protect deep technical work while supporting operational needs.Foster a culture of clarity, collaboration, accountability, and continuous improvement.What You Have, • 12+ years of experience in software engineering, with significant experience leading multi-team engineering organizations., • Proven experience delivering and operating complex systems in production or operational environments., • Strong technical background in distributed systems, infrastructure, reliability engineering, and software quality., • Experience with robotics, autonomy, embedded systems, or other safety-critical or operationally intensive products., • Demonstrated ability to work across autonomy, infrastructure, application, and operations domains., • Strong communication skills and comfort working cross-functionally at the executive level. The Extras That Set You Apart, • Experience scaling robotic or autonomous systems to broader operations., • Familiarity with simulation, autonomy validation, and performance analytics., • Experience working with operational teams, on-call rotations, or live system monitoring.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 RevolutionTo 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 in 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. 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. We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment. What You Will Get To Do Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows. Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment. Build tools and automation to support reproducible experiments, model versioning, and dataset management. Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources. Monitor model performance and system reliability across development and production environments. Improve the efficiency, scalability, and reliability of ML workflows and infrastructure. Work with cross-functional engineering teams to integrate ML components into robotics software systems. What You Have Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles. Strong programming skills in Python or similar languages. Experience building and maintaining machine learning pipelines. Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc., Solid understanding of Linux systems and distributed computing environments. Experience with GPU workload scheduling and orchestration across multi-region cloud environments. Excellent problem-solving skills and the ability to work collaboratively in a team environment. What Will Set You Apart Experience deploying and operating ML systems for robotics or real-world physical systems. Experience with scaling AI, ML, and inference workloads on Kubernetes. Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds) Experience with experiment tracking, model versioning, or dataset versioning tools. Experience optimizing ML pipelines for large-scale training and data processing. Experience working closely with research or applied machine learning teams. Compensation and BenefitsOur salary range is competitive with the market, 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 RevolutionTo 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. 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. 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 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 objectives What You Bring 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 onsite What Sets 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 The compensation range listed for this position represents On-Target Earnings (OTE), which includes both base salary and incentive compensation. Specific details regarding compensation structure will be discussed during the interview 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 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. 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. 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 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 Field AI, 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. Compensation The salary range for this role is $70,000-$300,000. 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. We’re looking for a Software Engineer, Product to build and own customer-facing products at the intersection of embodied AI, robotics, and real-world data. You’ll work closely with AI, robotics, product, and commercial teams to transform robotically captured data from complex construction environments into intuitive, high-impact software used on active job sites around the world. This is a hands-on role for engineers who enjoy shipping real products, operating close to customers, and seeing their work deployed beyond a lab or dashboard.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 systemsOur 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 RevolutionTo 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. 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 Senior Robotics Engineer to lead the design, implementation, and deployment of advanced control systems and collaborative behaviors for our autonomous vehicle fleet. In this role, you will serve as a key planning and controls expert, solving complex challenges involving operating in unstructured environments. You will own the evaluation and implementation of advanced control schemes, ensuring computationally constrained systems operate reliably across new and existing robotic platforms. Furthermore, you will drive the development of multi-agent operations and fleet coordination behaviors. This is a highly impactful role for an engineer with deep expertise in control theory and multi-agent autonomy who can translate advanced research into robust, field-ready solutions. 1. Vehicle Planning and Control Identify and model the dynamic behavior of autonomous vehicles to establish accurate baselines for motion planning. Adapt and train control models to transition between diverse vehicle platforms. Develop, optimize, and implement robust control stacks across the fleet to ensure safe and reliable operations. 1. Advanced Controller Design and Implementation Evaluate advanced control schemes for varying vehicle architectures. Design and implement computationally efficient control and planning algorithms tailored to the hardware and compute limitations. Verify and validate new control schemes directly on physical robots, overcoming bottlenecks when porting controllers to new platforms. 1. Multi-Agent Autonomy and Collaboration Lead architectural design discussions for heterogeneous multi-agent robotic operations and fleet coordination. Develop and implement robust collaborative behaviors for our vehicle fleets operating in unstructured environments. Execute, test, and deploy multi-agent behaviors to ensure the timely delivery of capabilities for key customer milestones. 1. Field Robotics Integration and Testing Deploy theoretical control schemes and multi-agent behaviors onto real-world robots operating in demanding, dynamic environments. Leverage deep domain expertise in off-road field robotics to ensure software robustness against unpredictable terrain and environmental conditions. Bridge the gap between advanced multi-agent research and practical, reliable product development for real-world deployments. 1. Technical Leadership and System Scalability Serve as a resident planning and controls expert, filling critical knowledge gaps and guiding technical strategy for the engineering team. Lead the effort to generalize highly specific robot controllers, ensuring new robots can be brought online quickly and efficiently. Ensure the timely delivery of critical autonomy capabilities to fulfill broader company goals, operational promises, and customer contracts. What You Have Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on planning, controls, or multi-agent systems; OR an MS degree in a related field with 3+ years of relevant industry experience. Deep expertise in modern control theory, specifically with predictive and sampling-based control methodologies (such as MPC and MPPI), and vehicle dynamics modeling. Proven experience designing, implementing, and testing multi-agent autonomy behaviors (e.g., convoying, formation control, or heterogeneous fleet coordination). Hands-on experience deploying complex control and planning algorithms onto physical robots, rather than just in simulation. Experience working with large-scale or off-road autonomous vehicles operating in unstructured, real-world environments. Strong ability to design and implement computationally constrained control schemes tailored to the compute limitations of embedded robotic platforms. Ability to verify, validate, and debug complex control architectures, overcoming system-level bottlenecks when adapting software to new vehicle platforms. Strong ownership mindset with the ability to serve as a resident technical expert, bridging the gap between advanced autonomy research and reliable product deployment. The Extras That Set You Apart Experience with field robotics, off-road vehicles, or high-speed / safety-critical robotic systems. Background in control theory, including classical and learning-based controllers. Experience with low SWaP (Size, Weight, and Power) robotic platforms. Prior ownership of system integration or technical leadership for a robotic platform. Experience mentoring junior engineers or leading integration efforts in small teams. Familiarity with autonomy stacks, planning systems, or real-time robotics software architectures. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. 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. 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 RevolutionTo 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. 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 DescriptionAbout the Role As a Field Service Engineer, you will be a key technical link between FieldAI’s robotics platform, our customers, and our engineering team. You will help ensure FieldAI’s robotic fleet operates reliably in customer environments while turning field observations into actionable feedback for product and engineering teams. This is a highly practical, customer-facing role with a balanced mix of mechanical/electrical repair, software-based troubleshooting, and operational support.. What You Will Do Bring up new robots upon receipt from OEMs or manufacturing partners, including initial configuration, quality checks, calibration, and software provisioning. Monitor and maintain fleet health across deployed assets, ensuring robots are tracked, serviced, and maintained according to FieldAI standards. Manage inbound and outbound logistics requests from internal teams, including robot shipments, spare parts, tools, and field-service equipment. Coordinate with operations, engineering, deployment, and customer-facing teams to ensure equipment is prepared, packed, shipped, received, tracked, and documented accurately. Diagnose, replace, and configure hardware components, including sensors, actuators, compute modules, batteries, wiring harnesses, and electromechanical subsystems. Perform field diagnostics and root cause analysis to resolve hardware, software, networking, and system-level issues. Travel to customer sites to lead robot installations, perform repairs, execute upgrades, calibrate systems, and support production deployments. Maintain clear and structured service logs, diagnostic records, configuration changes, asset movements, shipment status, and field observations. Partner with Field Application Engineers and engineering teams to deploy software updates, reproduce issues, escalate bugs, and share technical feedback from the field. Support continuous improvement of service procedures, logistics workflows, technical manuals, troubleshooting guides, and internal documentation. Operate safely and professionally in industrial, construction, and customer production environments. Core Skills & Qualifications 2+ years of experience in technical field service, robotics, hardware support, industrial automation, or a related hands-on technical role. Strong mechanical and electrical troubleshooting skills, including comfort working with tools, wiring, sensors, actuators, and robotic subsystems. Ability to read and interpret wiring diagrams, schematics, assembly drawings, and service documentation. Proficiency with Linux command line tools, SSH-based remote troubleshooting, and basic shell scripting. Comfortable diagnosing issues across hardware, software, networking, and system configuration layers. Strong communication and customer-facing skills, with the ability to explain technical issues clearly and professionally. Ability and willingness to travel regularly, approximately 30–50%. Comfortable working in industrial, warehouse, construction, or production environments. Experience coordinating logistics, inventory movement, shipping/receiving, RMAs, or service parts workflows in a hardware, robotics, or field operations environment. Nice to Have (Not Required) Experience with autonomous mobile robots, AMRs, industrial robotics, drones, or other autonomous systems. Familiarity with ROS, Python, robotics middleware, or scripting for diagnostic and automation workflows. Experience using tools such as Jira, remote monitoring dashboards, or fleet management systems. Familiarity with safety practices and compliance requirements in production, construction, or industrial environments. Experience supporting customer deployments from installation through ongoing production operations. Compensation and Benefits Our salary range is competitive 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. 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 RevolutionTo 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. 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.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 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. 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.What You Get to Do Translate product goals, field learnings, and engineering assumptions into system-level, subsystem-level, interface, and platform requirements Identify ambiguous, incomplete, or difficult-to-validate requirements and improve clarity and traceability Develop system-level understanding of autonomy software, robotic platforms, operational constraints, and release workflows Define interface expectations across autonomy software, sensors, compute, and platform behavior Improve cross-component alignment and reduce integration risk through clearer ownership and interface definitions Establish validation criteria, release readiness expectations, and measurable acceptance thresholds Map requirements to validation methods, metrics, scenarios, and release evidence Review field and integration learnings to identify recurring system-level issues and convert them into reusable validation cases or requirement updates Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field teams to drive alignment on system behavior and release readiness What You Bring 8+ years of experience in robotics, autonomy, autonomous vehicles, mobile robots, humanoids, industrial robotics, or complex cyber-physical systems Strong understanding of autonomy systems including perception, localization, planning, controls, sensors, compute, and platform integration Experience defining system-level requirements, interfaces, validation criteria, or integration expectations for robotic or autonomous systems Ability to translate engineering knowledge and field behavior into measurable requirements and release criteria Strong systems thinking across software, hardware, operations, and deployment environments Experience working cross-functionally with engineering teams and technical stakeholders Strong written communication skills for requirements, interface definitions, architecture notes, and technical reviews What Sets You Apart Experience improving systems engineering, validation, release-readiness, or reliability processes for robotics or autonomy products Experience with fielded robotic systems operating in real-world environments Familiarity with ODDs, validation coverage, requirements traceability, or release acceptance frameworks Familiarity with safety, fault handling, degraded modes, hazard analysis, or operational risk Experience with simulation, log replay, HIL/SIL testing, automated evaluation pipelines, or field-data-driven validation Comfort operating in fast-moving environments where rigor must remain practical and execution-oriented 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. 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. 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 $70,000-$300,000. 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 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 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. 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. We are seeking a highly motivated DevOps Engineer to help build and scale the infrastructure powering our AI and robotics platforms. In this role, you will work closely with robotics, machine learning, and software engineering teams to develop reliable CI/CD systems, cloud-native infrastructure, and developer tooling that support production-grade autonomy and edge AI deployments. This is an opportunity to build scalable systems for real-world robotics applications in a fast-paced, highly collaborative environment. What You Will Get To Do • Build and maintain CI/CD pipelines across robotics, AI, and software systems using tools such as GitHub Actions., • Design and manage cloud-native, containerized infrastructure using Kubernetes, Docker, and related technologies., • Deploy and support workloads across cloud and edge environments., • Improve developer workflows through automation, tooling, and infrastructure enhancements., • Support testing, packaging, deployment, and observability for distributed robotics and AI systems., • Collaborate cross-functionally with robotics, ML, and platform engineering teams to improve reliability and scalability., • Optimize build systems, monorepos, and deployment workflows for complex engineering environments.What You Have, • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience., • 3-7 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, SRE, or related roles., • Strong experience with Kubernetes, Docker, and cloud-native infrastructure., • Experience building and maintaining CI/CD systems in complex engineering environments., • Strong scripting or programming skills in Python, Bash, Go, or similar languages., • Solid understanding of Linux systems, networking, and distributed systems fundamentals., • Strong problem-solving skills and ability to work effectively across multidisciplinary teams.What Will Set You Apart, • Experience supporting robotics, autonomous systems, IoT, or edge computing environments., • Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines., • Familiarity with ROS, Terraform, Helm, ArgoCD, or related infrastructure tooling., • Experience managing large monorepos, build systems, and developer platforms., • Experience building observability and reliability systems for distributed infrastructure., • Kubernetes certifications such as CKA, CKAD, or CKS., • Bias for action and ability to thrive in fast-moving, ambiguous environments.Compensation and BenefitsOur salary range is competitive with the market, 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 RevolutionTo 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 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. 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 an Embedded Systems Engineer to support design, implementation, integration, and , deployment of wheeled robotic platforms across both federal and commercial programs Embedded Systems Role: As an Embedded Systems Engineer on the Federal 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. 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 $70,000-$300,000. 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 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 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. 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 DescriptionWho 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 We're hiring a Director of IT, Infrastructure & Security to own Field AI's IT operations, corporate and cloud security, and compliance program end-to-end. You'll inherit a working program, SOC 2 Type II is in place, CMMC is being run in partnership with our MSP, and core IT systems are operational. Your charter is to keep it running well, mature it where it matters most, and serve as the senior voice on IT and security risk to the executive team. This person must be highly comfortable operating in an environment where Google Workspace and Slack, Github nad Jira are core IT and identity platforms, and where Linux/Ubuntu is the primary operating system across much of the company’s technical environment. We are looking for someone who has supported technical organizations where Linux-based systems are the norm, not an edge case. This role is for someone who likes to operate close to the work. You will lead a small, capable IT team, manage our MSP relationships, and partner with Engineering, Legal, Sales, and Executive leadership to keep Field AI secure, compliant, and productive. Success here requires judgment, urgency, and practicality: knowing which controls matter, building cross-functional alignment, and shipping durable solutions without depending on large teams, heavy process, or perfect conditions. What You'll Get To Do • IT Operations & Asset Lifecycle: Oversee day-to-day IT operations, including help desk, employee onboarding and offboarding, endpoint support, Google Workspace and JumpCloud administration, Linux/Ubuntu endpoint support, and service delivery across multiple sites. Ensure laptops, desktops, mobile devices, peripherals, software licenses, and related IT assets are procured, deployed, tracked, maintained, and retired through a disciplined asset lifecycle process., • Oversee Network Infrastructure: Own the operation and lifecycle of Field AI’s physical and corporate network infrastructure, including switches, firewalls, routers, Wi-Fi, VPNs, VLANs, network segmentation, secure remote access, cabling coordination, ISP/vendor management, monitoring, documentation, and refresh planning., • Maintain Compliance and Audit Readiness: Maintain and improve Field AI’s existing compliance programs, including SOC 2 Type II, ISO 27001, and CMMC readiness/certification efforts. Own day-to-day compliance operations, including control monitoring, evidence collection, access reviews, asset records, policy maintenance, vendor coordination, and audit support., • Own practical corporate security controls, including endpoint security, IAM, MFA, patching, vulnerability remediation, logging, EDR, SIEM/SOC coordination, vendor risk, incident coordination, and security awareness. Ensure security controls are effective, lightweight, and appropriate for a fast-moving engineering company., • Be the Senior Voice on Risk: Communicate risk in plain language to engineers, executives, and customers. Lead architectural review for security-sensitive changes. Build buy-in for the controls that matter and friction-free paths for the ones that don't.What You Have, • Enterprise IT and Infrastructure Leadership: 10+ years of experience in IT, infrastructure, corporate technology, identity, security operations, or related functions, including experience leading IT operations in a high-growth technology company., • Compliance Operationalization: Hands-on experience driving SOC 2 Type II audits, with at least one of FedRAMP, ISO 27001, or CMMC also under your belt., • CISSP or equivalent senior security certification/experience., • Strong network infrastructure experience equivalent to CCNA-level knowledge, including switches, firewalls, VLANs, routing, VPNs, Wi-Fi, segmentation, and network troubleshooting., • Cybersecurity and Security Operations Background: Strong working knowledge of corporate cybersecurity controls, including endpoint security, IAM, MFA, vulnerability management, patching, logging, EDR, SIEM/SOC coordination, vendor risk, incident response coordination, network security, and security awareness. You can evaluate security tooling, work with MSP/MSSP partners, identify meaningful risks, and make practical security decisions without overengineering the environment., • Security Operations Tooling: Experience working with SIEM, EDR, vulnerability management, logging, and SOC/MSSP workflows. You can evaluate alerts, coordinate incident response, and work with internal and external partners to keep security operations effective., • Automation and Systems Fluency: Comfort using scripting, APIs, workflow automation, or low-code tools to improve onboarding, offboarding, access management, asset tracking, SaaS administration, reporting, and compliance evidence collection.Compensation and BenefitsOur 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 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. 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. 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 DescriptionField 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 BenefitsOur 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 RevolutionTo 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. 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 Mechanical Engineer to support system and component level design, integration, and validation for our wheeled robotic platforms across both federal and commercial programs. Mechanical Systems Role: As a Mechanical Engineer on the Federal 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'll 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. 1. 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. 1. 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. 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 $70,000-$300,000. 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. 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 DescriptionField AI builds autonomous robotic systems designed to operate in complex, unstructured, and safety-critical real-world environments. Our robots work alongside humans in outdoor settings where uncertainty, scale, and operational risk are fundamental challenges. Safety is a core product capability at Field AI. As our systems transition from advanced R&D into scaled field deployment, we are seeking a Director of Robotics Product Safety to define and lead the company’s product safety vision, strategy, and execution. As Director of Robotics Product Safety, you will own Field AI’s end-to-end product safety function. You will set the safety strategy for autonomous robotic systems, establish scalable safety processes, and serve as the executive-level authority on product safety across the organization. This role combines deep technical judgment, systems safety leadership, and cross-functional influence. You will work closely with executive leadership, engineering, operations, and external stakeholders to ensure Field AI’s robots are safe, deployable, and trusted in the field.What You'll Get To Do: • Safety Strategy & Leadership, • Define and own Field AI’s product safety vision, strategy, and roadmap, • Establish company-wide safety principles, policies, and governance for robotic systems, • Act as the executive point of contact for product safety decisions and risk acceptance, • Balance innovation speed with rigorous, risk-based safety practices System, Autonomy & AI Safety Oversight, • Provide technical leadership on system-level safety for autonomous robotic platforms, • Guide safety approaches for:, • Autonomous navigation, perception, and planning, • Human–robot interaction in field environments, • Fault tolerance, degraded modes, and fail-safe behaviors, • Oversee safety treatment of AI/ML-driven components, including uncertainty and edge cases, • Review and approve safety architectures, concepts, and safety cases Cross-Functional & Executive Collaboration, • Partner with leaders across:, • Autonomy, perception, software, hardware, and systems engineering, • Field operations, deployment, and customer programs, • Influence product architecture and roadmap decisions through a safety lens, • Provide clear, actionable guidance to executives on safety risks, tradeoffs, and mitigations Standards, Compliance & External Engagement, • Own Field AI’s approach to safety standards, regulatory alignment, and compliance, • Guide interpretation and application of relevant standards (e.g., ISO 12100, IEC 61508, ISO 13849, ISO 10218), • Lead engagements with customers, partners, regulators, and third-party assessors, • Ensure safety arguments are credible, defensible, and scalable across products Team Building & Organizational Scale, • Build, lead, and mentor a high-impact product safety team, • Define roles, responsibilities, and career growth paths for safety engineers, • Establish scalable safety processes that integrate naturally with engineering workflows, • Champion a strong safety culture without slowing execution Field Risk & Incident Management, • Provide executive oversight for:, • Field deployment risk assessmentsIncident response, investigations, and corrective actions, • Define thresholds for risk acceptance and deployment readiness, • Ensure lessons learned from the field are systematically fed back into product designWhat You Have:, • Bachelor’s degree in Robotics, Systems Engineering, Mechanical, Electrical, or Computer Engineering, or equivalent experience, • 10+ years of experience in robotics, autonomous systems, product safety, or functional safety, • Proven experience leading system-level safety for complex electromechanical and software-driven products, • Track record of influencing architecture and product decisions at a senior level, • Deep understanding of real-world robotics deployment risksLeadership Attributes, • Strategic thinker with strong technical judgment, • Able to make and defend difficult safety decisions under uncertainty, • Credible with both executives and hands-on engineers, • Pragmatic, risk-based, and outcome-focused, • Passionate about deploying safe autonomy in the real worldWhat Will Set You Apart, • Master’s degree or PhD in a relevant field, • Experience with autonomous mobile robots, outdoor robotics, or defense-adjacent systems, • Functional Safety certification (e.g., TÜV Functional Safety Engineer), • Experience interfacing with regulators, customers, and safety assessors, • Background in AI/ML-enabled systems and autonomy safetyOur 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 RevolutionTo 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 in 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. 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.What You Get To Do: • Develop and optimize point cloud processing pipelines, including registration, denoising, normal estimation, segmentation, and primitive extraction, • Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance, • Implement production-grade computational geometry and linear algebra in C++ and Python, • Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion, • Evaluate and integrate emerging 3D vision methods (e.g., neural implicit representations, advanced meshing techniques), • Partner with platform teams to ensure scalable, efficient deployment of algorithmsWhat You Bring:, • 2+ years of experience in Computer Vision, Computational Geometry, or 3D-focused Software Engineering, • Master’s or Ph.D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or geometric processing, • Strong proficiency in modern C++ (C++14/17) and Python, • Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry, • Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing) and spatial data structures (k-d trees, octrees, voxel grids), • Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres, • Familiarity with common 3D data formats (PCD, PLY, E57, LAS), • Strong problem-solving skills and ability to translate academic research into production-ready codeWhat Sets You Apart:, • Experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) for bundle adjustment or pose graph optimization, • Background in SLAM or Structure from Motion (SfM) pipelines, • Experience processing LiDAR, RGB-D, or photogrammetry datasets, • Familiarity with Linux development environments and containerization (Docker), • Exposure to ROS (not required), • Knowledge of survey-grade accuracy standards and georeferencing algorithmsOur 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 RevolutionTo 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. 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.