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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 status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.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.Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Job 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 iteration 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 status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About the Job 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer – Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI. What You’ll Get To Do 1. Develop Robust Motion Planning Algorithms Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments. Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities. Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts. 1. Advance Control and Planning Integration Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems. Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance. 1. Validate and Test Across the Stack Build and maintain testing pipelines from unit-level validation to full robot deployment. Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation. Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness. 1. Diagnose and Improve Field Performance Investigate and resolve issues arising from field deployments through structured data analysis and debugging. Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance. What You Have 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a 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 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. 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. 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. • 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. What Will 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 $140,000-$160,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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 hourly range for this role is $30.00-$45.00/hr. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 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 (preferred)., • 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Human-Robot Interaction & Product Design Engineer In this role you will develop hardware that shapes how our robotic systems look, feel, and sound. This spans audio and visual systems, industrial design, and robotic expressiveness and motion. Within audio and visual systems, you will select and integrate displays, speakers, and microphones. Within industrial design, you will work on form and CMF (color, material, finish). You will also help define robot motion and expressiveness. As part of the Hardware department this role will involve significant hands-on work bringing up and designing electromechanical elements. You will coordinate with Product and UI/UX to identify what interactions and experiences are needed. Then work with Electrical, Mechanical, and Computing hardware personnel to implement them. Solutions must balance performance, durability, manufacturability, and SWaP (size, weight, power) constraints across environments ranging from rugged industrial sites to commercial settings with the general public. What You Will Get To Do 1. Form & Interaction Form & Aesthetics: Drive form, shape, and CMF (color/material/finish) decisions that define how the robot looks and feels. Interaction & Expressiveness: Shape how people see, hear, and interact with the robot across displays, audio, and movement, adapting choices for industrial versus commercial and public settings. Cross-Team Collaboration: Partner with hardware groups such as Electrical, Mechanical, and Computing, and company-wide groups such as Product, UX, and Field Ops, since many parts are interrelated. 1. Lighting & Visual Displays Systems Display & Lighting Selection: Drive selection and programming of screens (OLED, LCD, LED), LED strips, and multicolor lighting elements such as ambient lighting, and expressive displays, including novel concepts like projection interfaces. Durability & Readability: Ensure display and lighting durability (drop/impact resistance) and outdoor daylight readability across harsh field conditions. SWaP Tradeoffs: Own SWaP tradeoffs for all display and lighting components as they're integrated into the payload. Firmware & Validation: Write scripts to validate display boot-up, onboard compute connectivity, and correct rendering, catching crashes before field deployment. 1. Audio Systems Speaker & Microphone Selection: Select, spec, and program speakers and microphones for target use cases, balancing audio I/O needs with the robot's form factor. Acoustic Performance Evaluation: Evaluate loudness, voice pickup, and acoustic performance across environments to ensure clear two-way communication in the field. SWaP Tradeoffs: Balance size, weight, and power (SWaP) tradeoffs for audio components against other system constraints and payload budgets. What You Have Education: B.S., M.S., or equivalent experience in Human-Robot Interaction, Electrical Engineering, Mechanical/Industrial Design, or a related field. Experience Level: Minimum of 3+ years of hands-on experience working on industrial/product design, audio-visual systems, or robotics. We welcome candidates across mid-level to senior and staff levels. AV Hardware Selection: Experience selecting and specifying speakers, microphones, displays (OLED/LCD/LED), and lighting elements for hardware products. SWaP & Systems Integration: Comfort balancing size, weight, and power tradeoffs across audio-visual and electromechanical system integration. Firmware & Validation: Experience writing scripts or tools to validate display boot-up, rendering, and connectivity, catching failures before field deployment. Industrial Design Skillset: Experience with industrial design work, including form, shape, and CMF (color/material/finish) decisions, that shape a product's look and feel. Robot Behavior & UI/UX Bridge: Familiarity with how robot movement and behavior contribute to expressiveness, and comfort acting as the hardware bridge to a UI/UX team. Cross Functional Collaboration: Experience partnering with Electrical and Mechanical teams to deliver integrated hardware. Human-Robot Interaction Knowledge: Familiarity with HRI/HMI concepts such as expressive/multimodal interaction, gaze/attention, and emotion libraries. Prototyping Tools: Familiarity with CAD and 3D-print prototyping for rapid iteration on audio-visual hardware concepts. Software Tools: CAD (Solidworks/Fusion/NX), Python (or related programming language) What Will Set You Apart Advanced Industrial Design: Experience owning industrial design end-to-end, including concept sketching, CMF systems, and prototyping, for consumer robotics or wearable hardware. User Research: Experience running or supporting user studies on preferences, such as eye or face design options for expressive robots. Animation & Expression: Experience with animation tools (Blender, Maya) or behavior/emotion libraries for expressive, character-driven robot design. Functional Safety & Compliance: Familiarity with functional safety (SIL) and regulatory compliance (CE, FCC, UL) for audio-visual hardware. Scaling: Experience taking audio-visual hardware from prototype to volume manufacturing with contract manufacturers (CM) and DFM/DFA practices. Compensation The salary range for this role is $100,000-$150,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Manufacturing Engineer, Robotics Hardware The Manufacturing Engineer will be responsible for designing, implementing, and continuously improving assembly and manufacturing processes for Field AI products. This individual will serve as the bridge between Engineering and Manufacturing, ensuring products are designed for manufacturability, assembly, testability, and long-term scalability. The ideal candidate is highly hands-on, thrives in fast-paced hardware development environments, and has experience bringing complex electromechanical products from prototype through production. This role will play a critical part in improving product yields, reducing assembly complexity, establishing quality standards, and developing functional test strategies that ensure reliable field performance. What You Will Get To Do 1. Manufacturing Process Ownership Own the development, implementation, and continuous improvement of assembly processes for robotic systems, payloads, and subassemblies. Create and maintain manufacturing work instructions, assembly procedures, process flows, and build documentation. Design assembly workflows that optimize throughput, quality, ergonomics, and repeatability. Lead manufacturing readiness activities for prototype, pilot, and production builds. Support contract manufacturers and internal production teams with process development and troubleshooting. 1. Design for Manufacturing (DFM) & Design for Assembly (DFA) Partner closely with Mechanical, Electrical, and Systems Engineering teams during product development. Drive DFM and DFA reviews throughout the product lifecycle to reduce manufacturing complexity, cost, and assembly time. Identify opportunities to simplify assemblies, reduce part count, improve tolerance stack-ups, and increase manufacturability. Provide feedback on component selection, fabrication methods, and assembly approaches to improve product robustness and scalability. 1. Yield Improvement & Production Support Establish manufacturing KPIs and yield tracking systems. Analyze production data to identify root causes of defects, failures, and inefficiencies. Lead failure analysis and corrective action (FACA) initiatives to improve process capability and product quality. Drive continuous improvement projects focused on yield, cycle time, labor efficiency, and cost reduction. 1. Quality & Test Development Define manufacturing quality requirements and inspection strategies for components, assemblies, and finished products. Develop acceptance criteria, inspection plans, and quality checkpoints throughout the manufacturing process. Establish functional test requirements and validation procedures for payloads, subsystems, and completed systems. Collaborate with Engineering and Quality teams to develop automated and semi-automated test solutions where appropriate. Ensure manufacturing processes consistently produce products that meet performance and reliability requirements. 1. Tooling, Fixtures & Automation Design and implement assembly fixtures, tooling, and manufacturing aids to improve consistency and efficiency. Evaluate opportunities for automation and process optimization. Develop calibration and maintenance requirements for manufacturing equipment and test stations. Ensure production tools and fixtures are documented and controlled. What You Have Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, or a related field. 3+ years of manufacturing engineering experience supporting complex hardware products. Strong experience with DFM, DFA, process development, and production support. Experience developing assembly processes for electromechanical systems. Knowledge of manufacturing quality systems, root cause analysis, and process control methodologies. Experience creating manufacturing documentation, work instructions, and process validation plans. Strong analytical and problem-solving skills with a data-driven approach to decision making. What Will Set You Apart Experience in robotics, autonomous systems, aerospace, automotive, industrial equipment, or similar industries. Experience supporting products from prototype through scaled production. Familiarity with PCBAs, wiring harnesses, sensors, motors, actuators, and precision mechanical assemblies. Experience developing production test equipment and functional test procedures. Knowledge of GD&T, tolerance analysis, SPC, Lean Manufacturing, and Six Sigma methodologies. Experience working with contract manufacturers and external production partners Compensation The salary range for this role is $100,000-$150,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Job Description Irvine, CA Operations – IT / Full Time / On-Site 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 looking for a senior hands-on IT infrastructure engineer to own the systems that keep a robotics engineering organization secure and productive: macOS/Linux endpoints, identity, SaaS access, office/lab networking, and endpoint security. This role is ideal for someone who has operated in fast-moving startup environments, enjoys building durable systems from imperfect starting points, and can move between strategic design and hands-on troubleshooting. What You'll Get To Do • Endpoint Fleet Management: Own the full lifecycle of our macOS and Linux endpoint fleet through JumpCloud MDM, enrollment, configuration, application deployment, patch management, and compliance enforcement. Define and maintain the golden configurations every new device is built from., • Network Operations: Operate the office and lab network end to end, switches, firewalls, Wi-Fi, VLANs, and VPN. Design and configure network infrastructure, perform maintenance and upgrades, and provide deep-dive troubleshooting from layer 1 through layer 7., • Endpoint Security: Operate CrowdStrike Falcon as our primary EDR — deploy sensors, define prevention and detection policies, tune detection logic to reduce false positives, and lead first response on endpoint security incidents., • Compliance Partnership: Partner with Security and Legal on SOC 2 and ISO 27001 — translate framework requirements into operational controls, automate evidence collection, and own the IT-side response to audits and quarterly access reviews., • Senior Technical Escalation: Serve as the senior technical resource on the IT team — resolve complex incidents, document resolutions as runbooks, and automate the underlying root cause wherever possible.What You Have, • Senior IT Operations Background: 5+ years of IT engineering experience, including time as a senior individual contributor on a small IT team in a fast-paced startup environment., • Linux & macOS Expertise: Deep Linux internals knowledge — systemd, kernel and networking subsystems, package management, sso integration, and host-level diagnostics. Equivalent fluency administering macOS at scale., • MDM Expertise: Production experience administering and scaling a modern MDM platform, ideally JumpCloud — policy authoring, configuration profiles, and rollout strategies across a heterogeneous fleet., • Networking Depth: Hands-on experience with professional-grade networking equipment such as Sophos, Ubiquiti, or Fortinet — switches, firewalls, Wi-Fi, and VPN — including packet-level troubleshooting., • Cloud & SaaS Administration: Hands-on administration of Google Workspace, GitHub, AWS, and Jira Cloud, with strong fundamentals in SSO/SAML/OIDC, SCIM provisioning, and IAM hygiene., • Endpoint Security: Working experience with CrowdStrike Falcon or a comparable EDR/XDR platform — sensor deployment, policy configuration, detection tuning, and incident triage., • Compliance Experience: Practical experience supporting SOC 2 and/or ISO 27001 — operationalizing controls, collecting evidence on a recurring cadence, and partnering with auditors.The Extras That Set You Apart, • Scripting proficiency in Python, Bash, or similar for IT and identity automation, • Experience standing up or maturing a JumpCloud deployment from the ground up, • Background supporting robotics, hardware, or lab environments, • Prior on-call or incident response experience in a security-conscious environment, • Vendor management and procurement experience for IT and security toolingCompensation 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the job Role: Finance Manager, EV Retail Location: Costa Mesa, CA (Onsite) Employment Type: Full-Time Salary: $110,000–200,000 OTE (base + commission) About Ever Ever is building the future of auto retail. As the first AI-native auto retail platform, we are building the next $100B+ automotive business, starting with electric vehicles. Our AI-native product and operations power our full-stack auto retail business, serving EV buyers and sellers across the nation, both online and offline. Based out of San Francisco and expanding nationwide, we are backed by leading investors and led by former tech & automotive professionals from Uber, Tesla, Rivian, Lithia, Penske, Carvana, Lyft, Meta, J.P. Morgan, BCG, and more. After our recently completed Series A financing, we have raised $100M in total equity and debt funding. We are growing rapidly and actively recruiting exceptional talent to join our mission of building the next-generation auto retail platform. Learn more about us at evercars.com. What You'll Do • Present finance, warranty, and protection products both remotely (phone/video) and in-person, • Run virtual and on-site F&I consultations with customers nationwide, • Structure and close financing deals through digital and in-store workflows, • Leverage a broad lender network to secure competitive approvals while managing lender relationships and end-to-end funding, • Deliver a high-trust, consultative buying experience — never high pressure, • Ensure strict compliance with all federal and state regulations, • Prepare, review, and finalize all digital and physical finance documents, • Educate customers on EV incentives and ownership economics, • Partner closely with Sales, Delivery, and Title teams to ensure smooth handoffs, • Maintain strong CSI and NPS scores, • Track penetration rates, gross profit, and close ratios across remote and in-store deals Qualifications & Fit • 3–7+ years of automotive F&I experience, • Proven success closing deals both remotely and in a showroom environment, • Strong backend product performance history, • Customer-first mindset with a consultative approach, emphasizing transparency and sustainable customer outcomes, • Highly organized with strong compliance discipline, • Comfortable in high-volume, fast-moving environments, • Passion for EVs and digital retail, • Thrives in a team-player environment where success is measured by how we win together, not just individual results Technical Skills • Experience with DMS platforms (Reynolds, CDK, Dealertrack, etc.), • RouteOne, CUDL, lender portals, • Digital contracting & e-signature platforms, • Strong knowledge of DMV, titling, and compliance workflows, • Comfortable using CRM tools Benefits • Competitive salary and performance-based bonus, • Health, dental, and vision insurance, • Flexible / Unlimited PTO, • 401(k) plan Why Ever and this role? • Help lead finance sales for the fastest-growing EV retailer in the U.S., • Work in a true omnichannel sales model (remote + in-person), • Use cutting-edge digital F&I tooling, • Help define the future of online automotive finance, • Direct impact on company profitability, • Clear path to leadership as Ever scales Disclaimers Ever is an equal opportunity employer. We encourage applicants from all backgrounds and experiences to apply.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Supply Chain Manager, Robotics Hardware The Supply Chain Manager will be responsible for ensuring uninterrupted supply continuity across both in-house and outsourced manufacturing operations. This role will drive material planning, supplier performance, production readiness, inventory optimization, and cost management to ensure payloads and systems are built on schedule and meet all downstream demand requirements. The ideal candidate combines strong operational execution with strategic supplier management, excels in fast-paced environments, and has experience supporting complex electromechanical products from prototype through production scale. What You Will Get To Do 1. Supply Continuity & Material Planning Sourcing & Order Strategy: Determine order quantities and negotiate RFQ/RFP pricing, weigh over-ordering vs. under-ordering risk, and align sourcing timelines with S&OP/demand forecasts and production schedules. Cost Reduction & Risk Planning: Drive cost reduction through should-cost analysis, BOM cost modeling, and bulk pricing, while managing lead times, safety stock, and second-source strategies against EOL and tariff risk. Vendor & Manufacturing Relationships: Manage relationships with PCB/board fabrication houses, CNC/machining shops, and contract manufacturers (CM/ODM), spanning small-batch and high-volume production. RMAs & Supplier Quality: Handle RMAs for defective parts, and support supplier quality (SQE), first-article inspection (FAI), and component qualification processes. Continuous Improvement: Drive continuous improvement initiatives focused on inventory accuracy, supplier performance, forecast accuracy, and operational efficiency. 1. Production & Demand Fulfillment Throughput Continuity: Ensure payloads, assemblies, and finished systems are built and delivered to meet all downstream demand requirements. Cross Functional Alignment: Collaborate with Manufacturing, Engineering, Program Management, and Finance to align production plans with forecasted demand. Scheduling & Prioritizations: Manage production schedules and material allocation during periods of constrained supply. NPI Support: Support new product introductions (NPI) by ensuring supply chain readiness from prototype through production. Executive Visibility: Provide supply chain visibility, metrics, and reporting to executive leadership. 1. Asset Management Chain of Custody: Own chain-of-custody tracking for components, prototypes, and payloads. Recording ownership and location through receiving, integration, and handoff to customers. Asset Tracking Systems: Implement barcoding and tracking systems for high-value assets and maintain change-tracking systems for Hardware team inventory. Purchase & Cost Records: Build and maintain systems tracking purchase history (quantities, costs, and rates paid over time) supporting spend analysis, budgets, and procurement KPIs. What You Have Education: B.S., M.S., or equivalent experience in Supply Chain Management, Industrial Engineering, Business, Mechanical Engineering, Electrical Engineering, or a related field. Experience Level: Minimum of 3+ years of hands-on experience in procurement or supply chain management. Procurement & Supply Chain Experience: Experience in hardware procurement and supply chain management, including strategic sourcing, vendor/supplier selection, and make-vs-buy decisions. Logistics & Forecasting: Strong understanding of MRP/ERP systems, inventory planning, and demand forecasting. Vendor Negotiation: Experience negotiating with vendors, fabrication houses (PCB, CNC), and contract manufacturers, including contract terms, SLAs, and pricing agreements. Asset & Inventory Systems: Strong organizational systems experience such as asset tracking, inventory management, or equipment/asset management at scale, including barcoding and chain-of-custody systems. Financial Acumen: Comfort with cost modeling, BOM cost analysis, budgeting/forecasting, and total cost of ownership (TCO) evaluations. Systems Thinking: Ability to work cross-functionally with engineering, finance, and legal to align procurement strategy with product roadmaps. What Will Set You Apart Scaling: Experience scaling supply chains from prototype or low-volume production to large-scale, high-volume manufacturing across multiple vendors. Field Environments: Experience supporting hardware deployed in harsh, diverse industrial field environments such as construction, energy, and mining, across global deployments. Deployed Robotics: Experience supporting robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots, spanning wheeled, quadruped, or humanoid embodiments. Systems & Tools: Experience with ERP/MRP or PLM systems, spend analysis, procurement KPI reporting, and cross-functional roadmap alignment. Legal & Compliance: Experience working directly with Legal on procurement contracts (MSAs, NDAs, IP/liability terms), and familiarity with export controls (ITAR/EAR) and conflict minerals compliance. Certification: APICS/ASCM, CPSM, or related supply chain certification. Cross Functional Hardware Knowledge: Familiarity with hardware domains such as mechanical components, electrical systems, sensors, robotics/actuation, LiDAR, or embedded computing. Compensation The salary range for this role is $100,000-$150,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Job Role: Operations Specialist Location: Irvine, CA (On-site) Employment Type: Full-Time Pay: $23–$26 Per Hour About Ever Ever is building the future of auto retail. As the first AI-native auto retail platform, we are building the next $100B+ automotive business, starting with electric vehicles. Our AI-native product and operations power our full-stack auto retail business, serving EV buyers and sellers across the nation, both online and offline. Based out of San Francisco and expanding nationwide, we are backed by leading investors and led by former tech & automotive professionals from Uber, Tesla, Rivian, Lithia, Penske, Carvana, Lyft, Meta, J.P. Morgan, BCG, and more. After our recently completed Series A financing, we have raised $100M in total equity and debt funding. We are growing rapidly and actively recruiting exceptional talent to join our mission of building the next-generation auto retail platform. Learn more about us at evercars.com. What You'll Do Lot & Queue Management • Maintain organized vehicle queues across WIP and finished goods stages, • Optimize lot space utilization to support throughput and operational efficiency, • Track unit status and location accurately to ensure proper inventory flow Vehicle Quality & Inventory Control • Keep inventory at sellable quality standards through regular inspections, • Maintain vehicle charge levels per established SOPs, • Identify units needing reconditioning or escalation and communicate accordingly, • Maintain key organization systems to ensure accurate key-to-unit accountability at all times, • Conduct regular lot audits to verify unit count, placement, and condition accuracy, • Ensure lot is organized and vehicles are staged in designated areas per operational standards, • Reconcile physical inventory against system records and escalate discrepancies promptly Shipping & Logistics Coordination • Manage inbound and outbound unit flow with carrier and shipping partners, • Execute vehicle ingress and egress, verify condition, document accurately, and resolve discrepancies, • Driving vehicles between lots, showrooms, third party servicers, and chargers, • Ensure handoffs meet compliance and quality standards at every touchpointWhat You Bring, • Experience in vehicle logistics, fleet operations, auto reconditioning, or a related field, • Familiarity with EV charging infrastructure and vehicle readiness standards (preferred), • Comfortable with lot operations software, inventory tools, or mobile-based tracking systems, • Valid driver's license with a clean record and acceptable driving record, • Ability to work outdoors in variable weather conditions and perform physical tasks as needed, • Strong attention to detail with the ability to identify condition issues, documentation gaps, and inventory discrepancies, • Physical and spatial awareness to safely handle vehicles and manage lot space effectively in a fast-moving environment, • Ability to maintain accuracy and quality standards in a dynamic, high-volume environment, • Clear, timely communication with the ability to surface issues early and keep relevant stakeholders informedPhysical Requirements, • Ability to perform physical work in a vehicle-service environment, including standing, walking, bending, kneeling, crouching, reaching, and working in and around vehicles for extended periods., • Ability to safely enter, exit, and operate vehicles, including driving vehicles as needed in connection with reconditioning, testing, movement, and delivery., • Ability to occasionally lift, carry, push, or pull up to 50 pounds; ability to move heavier items with appropriate equipment or assistanceBenefits, • Competitive pay, • Health, dental, and vision insurance, • PTO, • 401(k) planWhy Ever and This Role?, • Run reconditioning for the fastest-growing EV retailer in the U.S., • Make high-impact decisions that directly affect margins and velocity, • Work with cutting-edge EV technology and build elite operations, • Direct ownership over inventory readiness, • Clear path to Operations Manager and other Ops Leadership roles Ever is an equal opportunity employer. We encourage applicants from all backgrounds and experiences to apply.

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 enable robots to operate in complex, unpredictable environments. By combining advanced AI, robotics, and real-world deployment experience, we are developing solutions that move beyond simulation and deliver measurable impact across industries. Our systems are already deployed globally, helping customers unlock new possibilities in construction, security, mining, manufacturing, and beyond. We are building the foundation for the next generation of embodied intelligence—where robots can understand, navigate, and operate safely in the world around them. About the Job Field AI is building the future of autonomy—from rugged field environments to real-world customer deployments. We’re looking for a Mapping Solution Engineer who can bring our 3D mapping solutions to life by owning deployment, integration, and ongoing performance in the field. This role sits at the intersection of robotics engineering, customer delivery, and technical problem-solving. You’ll work hands-on with 3D mapping systems, robots, sensors, and customer environments to ensure successful deployments while continuously improving reliability through field feedback. You’ll collaborate closely with software engineers, robotics teams, operations, and customers to deliver mapping solutions that operate in large-scale, unstructured environments. If you enjoy building technology that leaves the lab, solving complex real-world problems, and seeing your work directly enable autonomous systems, this is your role. What You’ll Get To Do1. Develop and Deploy 3D Mapping Solutions • Design, develop, and maintain production-grade software for 3D mapping applications., • Deploy large-scale mapping systems and data processing pipelines into real-world environments., • Validate mapping systems and algorithms through testing on robots, sensors, and field deployments., • Build internal tooling, automation, and benchmarking infrastructure to improve reliability, performance, and repeatability., • Troubleshoot and optimize mapping workflows across software, hardware, and data pipelines.2. Own Solution Delivery and Field Deployment, • Lead end-to-end delivery of mapping data products, including data capture, processing, quality validation, and customer handoff., • Support on-site and remote deployments, ensuring systems are operational and performing as expected., • Conduct technical demonstrations, pilots, and evaluations for prospective and existing customers., • Partner with internal engineering teams and customers to identify issues, gather feedback, and drive improvements., • Develop scalable deployment processes, documentation, and best practices to improve future rollouts.3. Bridge Field Operations and Engineering, • Translate real-world deployment challenges into actionable technical improvements., • Analyze field data and system performance to improve mapping reliability and customer outcomes., • Work across robotics, software, operations, and customer teams to solve complex technical challenges., • Support mission-critical robotic deployments in dynamic and unpredictable environments.What You Have, • Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, Geomatics, or a related technical field (or equivalent practical experience)., • 2+ years of experience in robotics software development, 3D mapping, systems integration, or field deployment of complex technical systems., • Strong programming skills in C++ and Python with experience writing production-quality software., • Experience with 3D geometry, point cloud processing, and algorithms such as ICP and NDT., • Familiarity with point cloud libraries and tools such as PCL or Open3D., • Experience working with LiDAR systems and 3D data formats including PCD, PLY, E57, or LAS., • Familiarity with ROS, Git, and Linux/Ubuntu-based development environments., • Strong debugging and troubleshooting skills across software, hardware, and networking systems., • Excellent communication skills with the ability to explain complex technical concepts to technical and non-technical audiences., • Ability to manage multiple priorities and thrive in fast-paced, ambiguous environments., • Willingness to travel and work on-site with customers as needed.The Extras That Set You Apart, • Experience with geospatial data, georeferencing, coordinate systems, survey control, or calibration workflows., • Experience deploying and maintaining mission-critical robotics or autonomous systems in real-world environments., • Familiarity with point cloud and survey software such as CloudCompare, Leica Cyclone, Faro Scene, or Trimble RealWorks., • Experience working directly with customers in high-stakes technical environments., • Experience with project management tools such as Jira, Wrike, or Confluence., • Background in robotics, autonomous vehicles, drones, or field robotics., • Experience working at a startup or high-growth company with a strong ownership mindset.Why Join Field AI? We are solving one of the world’s most complex challenges: deploying intelligent robots in unstructured, previously unknown environments. Our Field Foundational Models™ enable robots to perceive, reason, and operate safely in the real world, creating a new generation of autonomous systems. You’ll work alongside a world-class team of researchers, engineers, and builders from organizations including DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. At Field AI, you’ll have the opportunity to work on technology that moves beyond the lab—building systems that operate in the real world and redefine what robots can do. Be Part of the Next Robotics Revolution We’re looking for people who challenge assumptions, solve hard problems, and thrive in environments where the answers aren’t already known. Join a team of engineers, researchers, field operators, and innovators working together to bring embodied intelligence into the world. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. 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 consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the Job Role: Lead Technician Location: Irvine, CA (Onsite) Employment Type: Full-Time Salary: $55-$60 per Hour About Ever Ever is building the future of auto retail. As the first AI-native auto retail platform, we are building the next $100B+ automotive business, starting with electric vehicles. Our AI-native product and operations power our full-stack auto retail business, serving EV buyers and sellers across the nation, both online and offline. Based out of San Francisco and expanding nationwide, we are backed by leading investors and led by former tech & automotive professionals from Uber, Tesla, Rivian, Lithia, Penske, Carvana, Lyft, Meta, J.P. Morgan, BCG, and more. After our recently completed Series A financing, we have raised $100M in total equity and debt funding. We are growing rapidly and actively recruiting exceptional talent to join our mission of building the next-generation auto retail platform. About the Role As the Lead Technician, you'll serve as the technical leader of Ever's reconditioning operation. This role combines advanced hands-on vehicle repair with leadership responsibilities, helping establish best-in-class shop standards while coaching technicians and improving operational efficiency. You'll spend a significant portion of your time performing complex repairs and diagnostics while also developing standard operating procedures (SOPs), training technicians, improving quality, and partnering with the Reconditioning Manager to maximize shop throughput, safety, and customer satisfaction. What You'll Own • Perform advanced diagnostics, repairs, and vehicle reconditioning on electric and conventional vehicles, • Serve as the technical escalation point for complex mechanical and electrical repairs, • Coach, mentor, and train technicians on repair quality, efficiency, safety, and OEM best practices, • Develop, document, and continuously improve shop SOPs, repair workflows, quality standards, and inspection processes, • Conduct quality control inspections before vehicles are released for sale, • Standardize repair procedures across the shop to improve consistency and reduce rework, • Lead technician onboarding and hands-on skills development, • Assist with workload planning and daily shop prioritization, • Partner with the Reconditioning Manager on productivity initiatives and continuous improvement projects, • Identify process bottlenecks and recommend operational improvements, • Ensure technicians follow OEM repair procedures and Ever quality standards, • Support implementation of lean shop practices, 5S organization, and workplace safety initiatives, • Monitor repair quality, comeback rates, and technician performance trends, • Assist with tooling recommendations and shop equipment improvements, • Document repairs accurately in Ever systems, • Maintain compliance with high-voltage safety procedures and OSHA standards, • Foster a positive, collaborative, and high-performing shop culture Qualifications & Fit • 5+ years of automotive technician experience with demonstrated technical expertise, • Previous Lead Technician, Shop Foreman, Team Lead, or similar leadership experience preferred, • Experience training, coaching, or mentoring technicians, • Strong diagnostic abilities across electrical, mechanical, and drivability systems, • Experience creating or improving shop processes and repair standards, • Strong communication, organization, and leadership skills, • Passion for operational excellence and continuous improvement, • Valid driver's license with a clean driving record (21+ for road testing) Technical Skills • Advanced diagnostic skills using OEM and aftermarket scan tools, • Experience with EV platforms (Tesla, Rivian, Lucid, GM, Ford, Hyundai/Kia) preferred, • High-voltage safety certification preferred, • Ability to interpret wiring diagrams and service information, • Experience with brake, suspension, steering, drivetrain, HVAC, and electrical systems, • Experience developing repair documentation and SOPs, • ASE Master Technician and OEM EV certifications are a plus Physical Requirements • Stand and walk for extended periods, • Lift up to 50 pounds, • Bend, kneel, squat, crawl, and work underneath vehicles, • Operate lifts, power tools, diagnostic equipment, and shop machinery, • Safely drive and road test vehicles Benefits • Competitive salary + performance bonus, • Health, dental, and vision insurance, • PTO, • 401(k) plan Why Ever and this Role? • Lead the technical direction of a rapidly growing EV reconditioning operation, • Help build scalable shop processes from the ground up, • Mentor the next generation of EV technicians, • Work with the latest EV technology, • Make a direct impact on vehicle quality, operational excellence, and customer experience Ever is an equal opportunity employer. We encourage applicants from all backgrounds and experiences to apply.

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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Title: Deployment Logistics CoordinatorLocation: Irvine, CAJob Type: Full timePrefer Local Candidates About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. We’re proud to have a team of brilliant minds from organizations like NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and more. Together, we are united by a shared passion for reshaping the future through robotics. Learn more at https://fieldai.com. About the role: We are looking for a Deployment Logistics Coordinator to manage the movement of robots, spare parts, equipment, and other materials between FieldAI HQ, customer sites, and field deployment locations. This role will serve as the central point of coordination for all deployment logistics, working closely with deployment, service, engineering, and hardware teams to ensure offsite operations run smoothly. The role will also coordinate domestic and international shipments, including freight forwarding, customs clearance, import/export compliance, carnet management, and country-specific shipping requirements. Key Responsibilities Own the end-to-end logistics process for deployment and return of robots, spare parts, and equipment between HQ, customer sites, and field operations. Coordinate domestic and international shipments, including freight carriers, customs documentation, and delivery timelines. Maintain accurate inventory records, asset locations, calibration status, shipping history, and equipment availability to ensure deployment readiness. Own the process for preparing, inspecting, and documenting equipment before deployment and upon return. Serve as the primary logistics point of contact across Commercial Operations, ensuring clear communication on availability, schedules, and any delays or issues. Maintain detailed logs of equipment usage, shipping costs, and deployment history. When needed, travel to customer sites or events to support equipment setup, handoff, or retrieval. Prepare, package, label, and inspect robots, batteries, spare parts, and deployment equipment for shipment. Receive returned equipment, perform intake inspections, and coordinate repair or replenishment as needed. Required Qualifications 4+ years experience in logistics, shipping, asset management, or field operations coordination Strong organizational skills and meticulous attention to detail Excellent communication skills - comfortable coordinating across multiple teams and external partners Proficiency with tracking systems, spreadsheets, and project management tools (e.g., Google Sheets, Jira, Confluence) Valid driver's license; willingness to travel up to 25% of the time Thrives in a fast-paced, rapidly changing environment Preferred Qualifications Experience in robotics, autonomous vehicles, or hardware company logistics Coordinate international shipments, including commercial invoices, customs documentation, carnets, import/export compliance, freight forwarding, and country-specific shipping requirements. Experience supporting trade shows, demos, or customer events Exposure to inventory management systems or ERP tools Why FieldAI Work with autonomous robots and AI technology that’s genuinely changing industries Be at the center of the action — you’ll interact with influential leaders across robotics, construction, energy, and beyond Join a $2B unicorn company at a pivotal moment of growth Collaborative, mission-driven team at a brand-new Irvine Spectrum headquarters CompensationThe salary range for this role is dependent upon experience. 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 PhilosophyAt 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. We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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 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 Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs As a Senior 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 Will 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 • PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience., • Experience in field deployment of complex technical systems., • Proficiency in Python, C++, Git, ROS/ROS2, • 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. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Job 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description General Manager, Ever - Costa Mesa About Us Ever is building the future of auto retail. As the first AI-native auto retail platform, we are building the next $100B+ automotive business, starting with electric vehicles. Our AI-native product and operations power our full-stack auto retail business, serving EV buyers and sellers across the nation, both online and offline. About the Role The General Manager is the senior operational leader at Ever's Costa Mesa hub. You will own the full customer-facing deal lifecycle —from first contact through funding and title — and be accountable for the performance, culture, and daily execution of four verticals: Sales, BDC, Finance & Insurance, and Business Office / Title & Registration. This role reports directly to the VP of Operations and requires a full-time, on-site presence at the Costa Mesa hub. Key Responsibilities Sales Leadership • Deal Volume & Margin: Own retail deal volume targets for the Costa Mesa market. Hold the Sales Manager and consultants accountable to closing ratios, front-end margin per unit, and customer experience scores., • Sales Process: Drive a consistent process from lead to delivery. Monitor pipeline health, stage-by-stage conversion, and days-to-close across the team., • Deal Quality: Review deals in progress and post-close for margin integrity, proper structure, and adherence to process. Coach the Sales Manager on unit economics and objection handling., • Funnel Gaps: Identify and address breakdowns in the sales funnel before they become systemic issues. BDC & Lead Operations • Pipeline Performance: Oversee BDC inbound and outbound pipeline. Hold the BDC Manager accountable to contact rate, appointment set rate, and show rate., • CRM & Process Hygiene: Ensure lead routing, CRM data integrity, and scripting are up to date and consistently applied across the team., • Alignment: Partner with pricing and inventory functions to align lead flow and vehicle positioning with BDC capacity and conversion performance. Finance & Insurance (F&I) • Back-End GPU: Own back-end gross profit per unit targets across product penetration, financing conversion, and chargeback rate., • Compliance: Ensure every deal meets lender guidelines, state regulations, and internal compliance standards. Deal-level compliance is non-negotiable., • Leading Indicators: Monitor funding time, deal kickbacks, and stipulation clearance rates as the primary health signals for F&I operations., • Capacity & Structure: Identify constraints in F&I staffing or role definition and escalate to the VP of Operations before they affect throughput. Business Office / Title & Registration • SLA Performance: Ensure title and registration processing meets defined SLA targets. Track deal completion rate and exception volume on a weekly basis., • Handoff Ownership: Own the Finance-to-Business-Office handoff as a documented, zero-ambiguity process. Resolve title issues and lien payoffs without allowing them to delay funding., • State Compliance: Maintain awareness of title and registration requirements across all active states relevant to SF hub transactions. Execution & Accountability • Weekly Reviews: Run structured weekly reviews with team leads. Use data to diagnose trends, assign corrective action, and track resolution., • Target Translation: Convert company-level targets — GPU, deal volume, margins — into vertical-specific goals with defined owners and timelines., • Programmatic Initiatives: Drive SOP implementations, system rollouts, and process improvements from design through full team adoption., • P&L Accountability: Own the SF hub's gross profit contribution. Understand and manage all operational levers that affect it., • Culture: Set the standard for how the team operates, handles pressure, escalates problems, and serves customers. What You Are Responsible For Performance Metrics • GPU: Front-end and back-end gross profit per unit; blended GPU across all closings at or above target., • Volume & Velocity: Deal volume, close rate, days-to-fund, stip clearance rate, and BDC appointment-to-show conversion., • Compliance Metrics: Chargeback rate and title completion rate maintained within defined thresholds. Sales goals: Including sales volume and customer sentiment. Team & Org Health • Headcount & Performance: Staffing, performance management, and retention across all four verticals. Regular 1:1s and documented coaching for all direct reports., • Hiring & Ramp: Ensure key roles are filled and ramp-ready before gaps become operational constraints. Process & Compliance • SOP Adherence: Enforce and continuously improve processes across Sales, BDC, F&I, and Business Office., • Deal Integrity: Lender compliance, state title and registration requirements, CDK data accuracy, and contract packaging — end-to-end. Qualifications & Experience • Leadership Experience: 5–8 years of senior leadership managing multiple functional verticals in a high-volume, consumer-facing operation., • Sales & F&I Ownership: Direct experience owning both Sales and F&I performance with fluency in front-end and back-end margin mechanics at the deal level., • BDC Background: Proven track record leading a BDC or inside sales function with measurable accountability to lead conversion and pipeline metrics., • Industry Background: Experience in automotive retail or direct-to-consumer vehicle operations. Familiarity with the DTC operating model and its demands is strongly preferred., • DMS Proficiency: Hands-on experience with CDK, Reynolds & Reynolds, or a comparable dealership management system., • Title & Registration: Experience managing business office and title functions, including multi-state or complex regulatory environments., • Team Building: Track record of hiring, developing, and managing performance to clear, documented standards., • EV Knowledge: Working knowledge of or demonstrated interest in the EV market and its operational differences from traditional automotive retail., • Customer Experience: Build a world class sales organization that meets or exceeds customer expectations and keeps customers enthusiastic about the brand., • Escalations Experience: Own the customer escalation funnel addressing customer concerns at the root cause, and leaving customers happy and satisfied with exceptional outcomes. Location • Costa Mesa, CA — On-Site Required. No remote or hybrid arrangements. Availability required during high-volume periods, weekend hours, and month-end close. Compensation & Benefits • Base Salary: $130,000 – $155,000 depending on experience., • Annual Performance Bonus: 15% – 25% of base salary, paid annually based on KPI attainment across GPU, deal volume, team development, and operational compliance., • Total Target Compensation: $156,000 – $201,500+., • Benefits: Comprehensive medical, dental, and vision coverage; 401(k); stock options; PTO and sick time. Based out of San Francisco and expanding nationwide, we are backed by leading investors and led by former tech & automotive professionals from Uber, Tesla, Rivian, Lithia, Penske, Carvana, Lyft, Meta, J.P. Morgan, BCG, and more. After our recently completed Series A financing, we have raised $100M in total equity and debt funding. We are growing rapidly and actively recruiting exceptional talent to join our mission of building the next-generation auto retail platform. Learn more about us at evercars.com.

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, 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.What You'll Do: Own and improve CI/CD pipelines for web services and applications (Node.js, React) Design and maintain release processes that ensure safe, reliable deployments Build and enforce testing and validation workflows to catch issues before production Manage and scale containerized infrastructure (Docker, Kubernetes) in AWS Monitor system performance, reliability, and uptime across production environments Partner with full-stack engineers to improve deployment velocity and system stability Debug and resolve production issues across application, infrastructure, and deployment layers Improve observability, logging, and alerting to proactively detect failures What You Bring: 3–8 years of experience in DevOps, infrastructure, or production engineering roles Strong experience with AWS and containerized environments (Docker, Kubernetes) Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions or similar) Familiarity with modern web stacks (Node.js, TypeScript, React) Experience managing production systems and debugging real-world issues Understanding of testing strategies for release reliability and system validation Strong ownership mindset with a focus on system stability and quality Ability to work cross-functionally with engineering teams What Sets You Apart: Experience owning release processes and production readiness for web applications Experience improving system reliability, uptime, and deployment safety at scale Familiarity with MongoDB or similar databases in production environments Experience building internal tooling to improve developer workflows Experience in fast-paced startup environments 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 status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Job Role: EV Reconditioning Technician I (Entry-Level) Location: Irvine, CA (Onsite) Employment Type: Full-Time Salary: $30-$40 Per Hour About Ever Ever is building the future of auto retail. As the first AI-native auto retail platform, we are building the next $100B+ automotive business, starting with electric vehicles. Our AI-native product and operations power our full-stack auto retail business, serving EV buyers and sellers across the nation, both online and offline. Based out of San Francisco and expanding nationwide, we are backed by leading investors and led by former tech & automotive professionals from Uber, Tesla, Rivian, Lithia, Penske, Carvana, Lyft, Meta, J.P. Morgan, BCG, and more. After our recently completed Series A financing, we have raised $100M in total equity and debt funding. We are growing rapidly and actively recruiting exceptional talent to join our mission of building the next-generation auto retail platform. Learn more about us at evercars.com. About the Role This is an entry point into a fast-growing EV career. As an EV Reconditioning Technician I, you'll handle the foundational maintenance and reconditioning work that gets every vehicle retail-ready, while building hands-on EV expertise under the direction of our senior technicians. It's a role for someone early in their career who does clean, reliable work, takes coaching well, and wants to grow into high-voltage diagnostics over time. Recent graduates of accredited automotive programs are encouraged to apply. What You'll Do • Perform routine maintenance and light reconditioning — brakes, tires, suspension and steering, fluids, filters, wipers, and 12V battery service, • Complete reconditioning tasks to prepare vehicles for retail sale under the guidance of senior technicians, • Assist with inspections and basic diagnostics, flagging issues for senior-tech review, • Follow OEM and Ever procedures for safe handling around high-voltage systems, • Complete pre-delivery and post-reconditioning quality checks, • Document all work accurately in Ever's internal systems, • Support parts handling — receiving, staging, and inventory — as needed, • Build EV-specific skills through on-the-job training and manufacturer coursework, • Collaborate with recon, inventory, and logistics teams to hit throughput targets, • Maintain a clean, safe, and organized workspaceQualifications & Fit, • 0–2 years of automotive technician experience, or a recent graduate of an accredited automotive program, • Able to perform basic repairs independently — brakes, tires, suspension, fluids, and filters, • High-voltage safety awareness, or willingness to obtain certification (Ever supports this), • Strong mechanical aptitude and a genuine willingness to learn EV systems, • Comfortable using hand tools, power tools, and basic scan tools, • Detail-oriented, with real pride in quality work, • Reliable, coachable, and a team player in a fast-paced, high-growth environment, • Passion for EVs and future mobility, • Valid driver's license with a clean record (must be 21+ to road test per policy), • High school diploma or GED preferredTechnical Skills, • Foundational understanding of basic electrical theory and safe use of a DVOM (multimeter), • Comfortable with brakes, suspension and steering, and tire and alignment basics, • Ability to follow service procedures, checklists, and repair orders, • Experience servicing EVs (Tesla, Rivian, Lucid, etc.) a plus, • Multi-make, high-volume reconditioning experience (CarMax, Carvana, etc.) a plus, • ASE entry-level certification, or willingness to pursue A-series certifications, a plusBenefits, • Competitive salary + performance bonus, • Health, dental, and vision insurance, • PTO, • 401(k) planWhy Ever and this role?, • Launch an EV career with a clear, structured path to Senior Technician, • Work hands-on with the newest EV models, • Learn directly from senior diagnostic technicians, • Join the fastest-growing EV retailer in the U.S., • Build rare, high-demand EV technical expertise from day one, • Direct impact on vehicle quality and customer experience Ever is an equal opportunity employer. We encourage applicants from all backgrounds and experiences to apply. Next steps We're assembling a world-class team to change the future of auto retail and to build the next $100B+ company. If you're excited by the massive opportunity, apply here: https://job-boards.greenhouse.io/ever

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 DoRevenue Recognition & Technical Accounting Serve as a key internal resource on ASC 606 and revenue recognition matters Review and analyze customer contracts across software, hardware, and services arrangements Prepare technical accounting memos and SSP analyses Maintain and improve revenue recognition policies and NetSuite ARM workflows Partner with GTM teams on accounting implications of deal structures Close & Reporting Own and improve the monthly close process across global entities Prepare and review journal entries, reconciliations, flux analysis, accruals, deferred revenue, and intercompany accounting Improve close quality, controls, and operational scalability Support audits and external reporting requirements Systems & Process Improvement Identify operational gaps and build scalable accounting processes Improve workflows, automation, and accounting systems Partner cross-functionally across Finance, Operations, GTM, Legal, IT, and Hardware teams Help build scalable documentation, SOPs, and finance infrastructure Team & Partnership Mentor junior accounting team members Partner with hardware and operations teams on inventory accounting Support broader finance scaling initiatives across the organization What You Bring 5-10+ years of progressive accounting experience CPA license (active or inactive) Strong hands-on ASC 606 and technical accounting experience Experience reviewing contracts and documenting accounting conclusions Strong understanding of the full close cycle Experience building or improving accounting processes in evolving environments Strong operational rigor, communication skills, and attention to detail Ability to operate independently in fast-moving startup environments Ownership mentality with strong execution and problem-solving instincts What Sets You Apart Experience at Series A–C or high-growth startups Experience supporting software + hardware revenue models Familiarity with NetSuite ARM and modern finance tooling Multi-entity or global accounting experience Experience building accounting infrastructure from early-stage processes Background in robotics, AI, autonomy, industrial, or deep-tech 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 status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Test & Reliability Engineer As a Test & Reliability Engineer on the Hardware Team at Field AI, you will build out our testing and quality control infrastructure across mechanical, electrical, embedded, and sensor systems. Your work ensures hardware is ready to ship and holds up reliably in diverse, challenging field environments such as construction, energy, and mining. You will partner with engineers throughout the design process to ensure systems meet requirements, develop the tests that validate them before deployment, as well as identify and mitigate issues with the deployed fleet. You may also work across multiple embodiments, including quadrupeds, humanoids, and wheeled platforms. What You Will Get To Do 1. Test & Validate System Design Test & Validation Infrastructure: Work with the team to set up testing infrastructure including internal facilities and relationships with third-party test labs and certification bodies Mechanical Testing: Conduct tests such as thermal / shock/ vibration testing, HALT/HASS (Highly Accelerated Life Testing), ingress protection testing (IP54, IP65), and destructive/non-destructive evaluation (X-ray, CT scan). Electrical Testing: Test for overcurrent and overvoltage conditions, run EMI/EMC emissions and immunity testing. Manage FCC and CE certification with external test labs. Sensor Validation: Test sensor performance (LiDAR, depth cameras, IMU, GPS) across diverse environmental conditions. Validate intrinsic/extrinsic calibration procedures both in-lab and in the field environments. Safety & Compliance: Support compliance with relevant safety and quality standards (e.g., ISO 26262 functional safety, SIL, ISO 9001, MIL-STD-810) via third-party certification bodies, and track evolving requirements as the company scales toward global deployments. 1. Manufacturing & Scaling Quality Control Incoming & Outbound Quality: Develop incoming quality control (IQC) and outbound quality checks (OQC). Design and execute sampling/AQL plans, including pulling sample units for testing. Process & Infrastructure: Build test processes, standards, and best practices, evolving them as the team and fleet scale. Maintain test procedures, equipment logs, and calibration traceability records. Serve as an internal evaluator of production and shipping readiness. Build & Supply Chain: Support production scaling and manufacturing technique scale-up. Work with vendors and contract manufacturers on component qualification, supply chain considerations, and quality-related testing. 1. Fleet Health & Reliability Fleet Health Monitoring: Monitor fleet health and uptime, conduct fault testing, performance testing, and system-level validation across integrated mechanical, electrical, embedded, and sensor hardware, and track calibration status across deployed units. Failure & Reliability Tracking: Track and report failure rates and reliability metrics (MTBF/MTTR), both internally during development and testing, and across global deployments. Fleet Maintenance, Debug, & Retrofits: Work directly with technicians on the test floor and in the field. Support component retrofits, root-cause/RMA failure analysis, and fleet maintenance and calibration on deployed hardware. What You Have Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Electrical Engineering, Robotics, or a related field. Experience Level: Minimum of 4+ years of hands-on experience in hardware testing, quality, or reliability engineering. We welcome candidates across mid-level to senior and staff levels. Broad Hardware Testing: Experience spanning mechanical and electrical test domains, including environmental and reliability testing (thermal, vibration, HALT, IP54/IP65 ingress testing), run in-house and through third-party test labs and equipment vendors. Quality Control: Experience with quality control processes such as incoming QC (IQC), outbound QC (OQC), and sampling/AQL, ideally in ISO 9001-aligned environments. Cross Functional Robotic Skills: Comfort working across electrical, mechanical, embedded, and sensor (LiDAR, depth camera) systems, and across embodiments such as wheeled platforms, quadrupeds, and humanoids, to evaluate and validate integrated hardware. Communication Protocols: Familiarity with common robotics communication interfaces (USB, Ethernet, CAN, I2C, GMSL) as they relate to test and validation. Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, EMI/FCC analyzers) for fault and failure analysis. Systems Thinking: Ability to diagnose and evaluate readiness across mechanical, electrical, thermal, and software layers. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing and testing systems for harsh, diverse industrial field environments such as construction, energy, and mining, across global deployments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots, spanning wheeled, quadruped, or humanoid embodiments. Systems Level Robotics: Fluency across mechanical, electrical, and software systems. Reliability Engineering: Background in functional safety compliance (ISO 26262, SIL), MTBF/MTTR reliability metrics, fleet maintenance and health monitoring, RMA/failure analysis, and building a test or quality function from the ground up. Compensation The salary range for this role is $100,000-$150,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 hiring a GTM Systems Analyst to own the systems that run our go-to-market engine. You will be the single technical owner of Salesforce and the surrounding sales, intelligence, and data tooling — the person who makes sure data flows cleanly, processes are enforced in the system, and the team has the reports they need to make decisions. You will work both hands-on inside the tools and alongside external implementation partners, owning the relationship and the requirements so the work ships right. This is a build-from-the-ground-up role reporting directly to the Head of GTM Finance & RevOps. You will not inherit a mature stack; you will help architect one that survives the next 3x of headcount growth without a rebuild. If you like being the person who untangles messy data, ships the automation that saves reps an hour a day, and gets quoted in the forecast call because your numbers are the ones everyone trusts — this is for you. Our GTM Stack You will own, integrate, and continuously improve our go-to-market stack — working both internally and with external implementation partners: Salesforce — system of record and the hub everything else connects into. ZoomInfo & Clay — enrichment, prospecting, and account/contact data quality. Gong — conversation intelligence and automatic activity capture. AWS & Snowflake — the GTM data layer and warehouse where clean CRM data flows for reporting and analytics. Claude — AI automation across the stack — used to clean data, automate manual GTM work, and accelerate reporting. What You'll Do Salesforce administration, configuration, and governance — objects, fields, page layouts, validation rules, and user management. You protect data quality aggressively and keep the org clean as we scale. Data and integrations: connecting ZoomInfo, Clay, and Gong into Salesforce, and the GTM data layer on AWS and Snowflake — partnering with our data team so clean, trusted data flows from the CRM into the warehouse for reporting and analytics. AI-assisted automation: building Claude-powered workflows that automate manual GTM tasks, enrich and clean records, and speed up reporting. You will be encouraged to find and ship these. Implementation partners: owning external implementation partners — you scope requirements, manage the engagement, and review what they deliver so changes land cleanly and don't create technical debt. Workflow and automation: lead routing, ownership rules, and SLA enforcement, plus the MQL→SQL→SAL handoff logic so no lead falls through the cracks and reps trust the system. Reporting and dashboards: pipeline stages and exit criteria, opportunity scoring, and the dashboards leadership and the board rely on — pipeline coverage, ARR, activity, and funnel conversion. Data hygiene: deduplication, normalization, and enrichment routines that keep Salesforce the source of truth. No forecast or comp calculation is worth anything on top of garbage data. Documentation and enablement: clear documentation of how every system and process works, so the stack does not live only in your head and the next hire can pick it up. What You Have 2–5 years in RevOps, Sales Operations, Marketing Operations, or CRM administration at a B2B company. Hands-on administration experience with Salesforce — you can build fields, flows, validation rules, and reports yourself, not just file tickets. Strong data instincts: comfortable in spreadsheets at an advanced level, and able to spot when numbers are wrong before anyone else does. Experience integrating at least one adjacent GTM tool (e.g., ZoomInfo, Clay, Gong, or similar enrichment/intelligence tooling) with a CRM either on your own or working with external partners. Clear communicator who can translate a messy business request into a clean system requirement — and document it. Salesforce Administrator certification. What Sets You Apart Exposure to complex, multi-stakeholder enterprise sales cycles (pilots/POCs, land-and-expand) or hardware/services revenue models. Familiarity with Snowflake, SQL, or a cloud data stack (AWS), and comfort using AI tools like Claude to automate work. Experience managing external implementation partners or systems integrators. Experience at an early-stage, high-growth startup where you built process rather than inheriting it. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Job 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. Robotics AI Engineer – Calibration, Localization, and Mapping About Field AIField AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at https://fieldai.com. About the JobField AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. You will work with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. The specific project and work that you will be doing will depend on your specific skill set and area of interest. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment. What You’ll Get To Do • Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids, • Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems, • Write clean, efficient, and maintainable code in C++ and Python, • Collaborate with cross-functional teams to integrate and deploy your algorithms into real-world systemsWhat You Have, • Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping, • Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics, • Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion, • Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms, • Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms, • Experience with sensor calibration (intrinsics and extrinsics) and time synchronization, • Strong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code, • Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system, • Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities, • Strong work ethic, highly self-motivated, and excellent written and verbal communication skillsThe Extras That Set You Apart, • Publications and/or patents in calibration, state estimation, odometry, and/or SLAM, • Experience working with noisy sensor measurements and designing outlier-resilient algorithms, • Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity, • Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.), • Experience with modern version control and project management toolsField AI Onsite Work Philosophy: Field AI believes in-person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Irvine, CA office, with flexible hours to support work-life balance.We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We're looking for a Network Solution Engineer to own the network backbone that keeps our robots online, mission-ready, and connected — from Wi-Fi and cellular to routers and customer private networks. Robots can't run missions if they can't stay connected, and you'll be the person who makes sure they do: bringing up field routers, troubleshooting coverage and interference on-site, and partnering with customer IT to get robots admitted onto their networks. This role sits at the intersection of networking, field operations, and customer enablement. You'll triage issues across software, hardware, and networking layers, build the monitoring and tooling that surfaces connectivity health across the fleet, and turn what you learn in the field into playbooks and product feedback that make every future deployment smoother What You'll Get To Do Site Connectivity Deployment & Operations • Own end-to-end connectivity for deployments — Wi-Fi, cellular, routers, and customer private networks., • Bring up, configure, test, and recover field routers so robots come online and stay mission-ready., • Partner with customer site IT on access-point placement and coverage — flagging dead zones, interference, and weak spots along mission paths, and advising on placement, channel, and antenna adjustments., • Resolve connectivity failures in the field: poor coverage, weak or failing cellular and SIMs, access-point and backhaul issues, regulatory/DFS "no-channels" states, and roaming problems. Network Reliability & Triage • Quickly root-cause field issues across software, hardware, and networking layers — using connectivity telemetry (signal, latency, packet loss) to accurately attribute whether a fault is the network or the application — and route it to the right team to maintain uptime and mission success., • Stand up and operate monitoring and diagnostics that surface connectivity health across the fleet., • Gather and analyze field feedback, and partner with engineering to drive recurring fixes and automation into the tooling. Customer & Site Enablement • Bring robots onto customer private networks — supplying the correct device MAC addresses for allowlisting and coordinating with customer IT to get robots admitted., • Translate connectivity status into clear, actionable updates for operators, site teams, and customer IT., • Serve as a trusted connectivity point of contact who accelerates deployment and keeps sites running. Cross-Functional Collaboration • Be the voice of the field for connectivity, bringing site network insights back to engineering and product., • Collaborate across software, hardware, and platform teams to keep robots connected., • Build scalable connectivity playbooks and runbooks for future rollouts.What You Have, • Strong networking fundamentals — Wi-Fi (bands, channels, DFS, roaming), cellular (LTE/5G, APN, SIM provisioning), routers and access points, and subnets/VLANs, DHCP, DNS, NAT, and MAC addressing/allowlisting., • Practical Wi-Fi coverage sense — able to spot dead zones and interference and understand how access-point placement, channels, and antennas affect coverage and roaming — enough to have a productive conversation with the site team that owns the APs., • 2–3 years in field deployment, systems integration, network operations, or IT/NOC; field robotics a plus., • Strong troubleshooting and debugging across software, hardware, and networking layers, with the judgment to know which layer a problem actually lives in., • Comfortable on Linux and in a terminal / over SSH; scripting (Python/Bash) to automate and extend tooling is a plus., • A clear communicator who works directly with customers and IT in high-stakes settings and translates technical issues for non-technical audiences., • Self-starter who thrives in ambiguous, rapidly changing field environments., • Willingness to travel and work on-site with customers as needed.The Extras That Set You Apart, • Comfort reading network and fleet telemetry — dashboards and logs — to diagnose issues (specific tools are easily picked up on the job)., • A track record deploying, operating, or maintaining mission-critical systems in real-world environments.Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Reality Capture & Sensor Payload Engineer In this role on the Hardware Team at Field AI, you will deliver the sensor modules that turn our robots into data-collection platforms for customers. This spans sensor selection, calibration, electro-mechanical integration, validation, and the data pipelines that carry sensor output from capture through processing. Examples of sensor modules include high-resolution LiDAR scanners, PTZ and thermal cameras, depth cameras, GNSS/RTK, and gas detection sensors. Candidates should be familiar with concepts and workflows such as laser scanning, photogrammetry, digital twins, BIM, and deviation and change analysis. You will collaborate with the product team to select the right sensor for customers from hard industries such as construction and manufacturing. You will work closely with mechanical and electrical engineers to integrate each sensor into swappable modules on our robotic platform. You will own sensor performance such as calibration and time sync. As well as validate results through vibration and shock testing, point cloud evaluation, and other data quality checks. You may also lead the development of new custom reality capture sensors such as multicamera systems. What You Will Get To Do 1. Sensor Selection & Cross-Team Coordination Sensor Selection & Evaluation: Evaluate and select sensors for reality capture and mapping, such as LiDAR, depth cameras, GNSS/RTK, and PTZ/thermal cameras, based on accuracy, range, and point density. Insights & Customer Alignment: Partner with Product and engage directly with customers across construction, manufacturing, and other industries, to reconcile ideal data requirements with physical constraints. Custom Systems: Propose custom sensor solutions when needed, assessing whether COTS (commercial off-the-shelf) choices are truly optimal or whether custom LiDAR or multi-camera systems perform better. 1. Module Hardware Design Calibration & Time Sync: Own multi-sensor calibration, including intrinsics, extrinsics, boresight alignment, and timing (PTP, PPS) across custom LiDAR and multi-camera systems. Mechanical & Electrical Integration: Work with the mechanical and electrical teams to design the integration unit that mounts sensors onto the robot in a plug-and-play way, within SWaP-C constraints. Ruggedization: Own mounting and enclosure design, including IP ratings and ruggedization, so modules hold up in harsh field conditions. 1. Data Processing & Validation Data Pipelines: Build and maintain data pipelines that turn sensor captures into registered, georeferenced point clouds and photogrammetric reconstructions for the Insights team. Testing & Validation: Test sensor performance, calibration accuracy, and point cloud repeatability under real-world conditions, vibration, shock, and lighting, before deployment. Production Quality: Support incoming quality checks and production consistency for ruggedized sensor modules as they scale across multiple robots. 1. Ownership & Leadership Systems-Level Optimization: Act as the systems-level owner who prevents siloed, locally-optimized solutions, finding the truly optimal fix across domains. Cross-Disciplinary Coordination: Serve as the connective point between Autonomy, Insights, Mechanical, and Electrical, keeping sensor payload decisions aligned across the organization. Team Leadership & Roadmap: Oversee and mentor junior mechanical and electrical engineers, and contribute to sensor and hardware roadmap and vendor strategy. What You Have Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Electrical Engineering, Robotics, or a related field. Experience Level: We're targeting 9+ years of experience for a senior to staff-level role, though we may consider more junior candidates with the right profile. Cross-Domain Engineering: Strong foundation across mechanical design, electrical design, and sensor hardware, with the breadth to work across all three. Data & Signal Processing Fluency: Working knowledge of point cloud and signal processing sufficient to evaluate software-based solutions to hardware problems. Systems-Level Optimization: Demonstrated ability to work across engineering domains and drive system-level, not just component-level, optimization. Sensor Knowledge: Deep familiarity with the sensor and geospatial-intelligence landscape, including LiDAR, cameras, thermal imaging, and gas detection. Mechatronics & Integration: Experience with electromechanical integration, mounting, enclosures, IP ratings, and connectors for ruggedized sensor payloads. Cross Functional Communication: Strong communicator able to arbitrate between teams that each see only their own piece of the solution space. Leadership: Experience managing or mentoring junior engineers on detailed design execution. What Will Set You Apart Sensor Depth: Direct experience with sensors such as LiDAR, gas detection, thermal imaging, or PTZ camera systems. Field Robotics: Experience working with field robots subject to vibration, shock, or harsh environmental conditions such as construction or industrial sites. Mapping & Reality Capture: Familiarity with point cloud registration, photogrammetry and reconstruction, digital twin and BIM workflows, and deviation or change detection for environment mapping. Reality Capture Ecosystem: Familiarity with laser scanning hardware (FARO, Leica, Trimble) and reality-capture software platforms, applied to building or infrastructure inspection, construction verification, and asset management. Industry Exposure: Experience in construction, manufacturing, industrial, mining, or oil and gas environments, including hazardous-area (ATEX, IECEx, Class I Div 1/2) considerations. Research to Production: Experience taking sensor or perception work from research and algorithm development through to production deployment. Compensation The salary range for this role is $150,000-$200,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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 Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs. Sensor Systems Role: As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack. You will work with a diverse array of sensors—LiDARs, depth cameras, IMUs, GPS, and more—ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains. What You Will Get To Do 1. Sensor System Design Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices. Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility. Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy. Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization. 1. Sensor System Implementation Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature). Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed. Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states. 1. Sensor System Production & Servicing Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale. Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries. Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments. What You Have Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS. Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams. Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation. Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups) Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI. Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.). Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints. Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions. Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across software, electrical, and mechanical systems. Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Compensation The salary range for this role is $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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 driven by the challenge of building next-generation AI-powered robotics? Do you thrive at the intersection of advanced autonomy, real-world deployment, and AI-native decision-making? We are seeking a Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models to push the boundaries of risk-aware, self-evolving robotic intelligence. In this role, you will design, develop, and implement cutting-edge AI-driven planning and control architectures, ensuring our robots operate seamlessly in unstructured, high-stakes environments. This is your opportunity to redefine the future of embodied AI, working alongside a world-class team that values bold innovation, hands-on execution, and AI-first engineering. If you're eager to build autonomy that adapts, learns, and makes decisions with intelligence beyond traditional models, we want to hear from you!What You Will Get To Do • Algorithm Development, • Design and implement next-generation AI-powered Field Foundation Models (FFMs) and Dynamics Foundation Models (DFMs). Pioneer risk-aware, uncertainty-driven decision-making architectures that enable autonomous robots to navigate unstructured, high-stakes environments., • Reimagine planning algorithms, trajectory optimization, and task scheduling as a fusion of probabilistic reasoning, geometric intelligence, and adaptive AI, ensuring precise and reliable robot motion in dynamic environments., • Software Integration and Testing, • Work extensively with ROS (Robot Operating System) to develop, test, and integrate next-gen autonomous intelligence modules modules., • Design, implement, and test real-world and simulation- learning loops, where self-evolving models refine planning, control, and perception through real-world interaction. Conduct field tests to validate performance and optimize system behavior., • 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., • Cross-Team Collaboration, • Work closely with other engineering teams to align development efforts and achieve cohesive system performanc, • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.What You Have, • Strong programming skills: Proficiency in Python and C++ for algorithm development and system integration., • 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., • Understanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimization., • Ability and availability 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 GPU programming (CUDA C++, PyTorch) a significant plus., • 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 humanoid or legged robots., • Advanced degree (Bachelors, Master’s) in Robotics, Computer Science, Electrical Engineering, or a related field., • Understanding of safety standards and compliance in robotics.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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.