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Job Description Location: Irvine, CA (5 days onsite) Type: Full-time About Field AI Field AI is building advanced AI systems to power real-world autonomy. As a fast-growing company at the forefront of innovation, we move quickly and operate with high standards, supporting leaders who are shaping the future of AI. Role Overview We are seeking a highly organized, proactive, and resourceful Executive Assistant to support our C-level leadership. This role is critical to the day-to-day effectiveness of our leadership team. You will act as a trusted partner, managing priorities, anticipating needs, and ensuring seamless operations across scheduling, communications, and executive initiatives. What You’ll Get To Do • Manage complex and dynamic calendar scheduling across multiple time zones, prioritizing meetings and resolving conflicts, • Coordinate domestic and international travel, including itineraries, scheduling details, and expense reconciliation, • Serve as a gatekeeper for the C-level leadership’s time, ensuring focus on highest-impact priorities, • Support meeting preparation, including agendas, materials, note-taking, and follow-ups on action items, • Draft and manage communications on behalf of the C-level leadership, including emails and internal updates, • Partner cross-functionally with leadership and other stakeholders to drive alignment and execution, • Plan and coordinate executive meetings, events, and offsites, • Maintain confidential files, documents, and records with a high level of discretion, • Anticipate needs, solve problems proactively, and improve administrative processes for efficiency, • Support special projects and initiatives as neededWhat You Have, • 5+ years of experience supporting senior executives, ideally at the C-suite level, • Strong organizational skills with exceptional attention to detail, • Ability to manage competing priorities in a fast-paced environment, • High level of professionalism, judgment, and discretion with confidential information, • Excellent written and verbal communication skills, • Advanced proficiency in Google Workspace and/or Microsoft Office tools, • Ability to work onsite in Irvine, CA, five days per weekThe Extras That Set You Apart, • Experience supporting a C-level leadership directly, • Background in a high-growth startup or fast-paced environment, • Experience coordinating across global teams and time zones

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Role We are looking for a Director of Matrix Operations & Organizational Efficiency to design, operate, and continuously refine a matrix-based organization in a fast-scaling technology company. This role owns the structure of how the organization works—not the content of the work itself. You will ensure that roles are well-defined, staffing is intentional, capacity matches demand, and organizational complexity does not quietly accumulate over time. You will work closely with project leaders, functional leaders, recruiting, and executive leadership to maintain a lean, clear, and adaptable organizational system that scales with the business.This is a high-leverage role for someone who thinks in systems, values clarity over comfort, and enjoys operating in ambiguous, founder-driven environments.What You’ll Do • Own and Operate a Matrix Organization, • Design, maintain, and evolve a matrix structure across projects and functions, • Work with project leaders to assess staffing adequacy, risk, and capacity needs, • Translate project demand into functional allocation and hiring priorities, • Ensure every project–function intersection has clear ownership and an explicit staffing plan, • Drive Organizational Clarity and Discipline, • Define and maintain clear, non-overlapping role responsibilities across the organization, • Continuously review roles for relevance, redundancy, and necessity, • Actively remove, merge, or simplify roles that no longer justify their existence, • Set a high bar for introducing new roles, requiring clear justification and scoped ownership, • Coordinate OKR and Performance Processes (Process Ownership Only), • Own the operational execution of the OKR cadence (timelines, inputs, tracking, summaries), • Ensure alignment between project goals, functional goals, and individual OKRs, • Prepare structured, review-ready materials for leadership using tooling and automation, • Focus on consistency, clarity, and signal—not performance evaluation or technical depth, • Partner with Executive Leadership, • Maintain accurate, forward-looking organizational views by function and by project, • Surface organizational gaps, capacity constraints, and scaling risks early, • Provide leadership with clear, data-backed insights into how the organization is deployed What You’re Good At, • Designing and running organizational systems, not just managing people, • Thinking in structures, incentives, and interfaces rather than titles and headcount, • Operating comfortably across ambiguity, incomplete data, and fast change, • Asking hard questions about why roles exist—and acting on the answers, • Creating clarity where others tolerate complexityExperience & Skills, • Experience operating in matrixed or multi-dimensional organizations, • Strong background in operations, organizational design, strategy, or program management, • Proven ability to work cross-functionally with senior leaders, • High operational rigor and attention to detail, • Strong written and verbal communication skills, • Comfort using tools, dashboards, and automation to scale processes, • Founder-mode mindset: ownership-oriented, pragmatic, and decisiveWhat This Role Is Not, • Not an HR role, • Not a recruiter, • Not a technical people manager We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? Field AI is looking for a Robotics Autonomy Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results. If you’re a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!What You'll Get To Do • Autonomy Engineering, • Develop algorithms to assess environmental conditions and support autonomous decision-making, • Design evaluation frameworks to measure the performance of perception and navigation systems, • Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment, • Create systematic approaches to validate and improve system predictions across diverse operating scenarios, • Collaborate across perception, planning, and controls to develop benchmarks and metrics for system-wide performance, • Autonomy Systems Engineering, • Evaluate and design trade-offs between compute, latency, power, and other key performance metrics for robotic systems., • Integrate diverse software modules, ensuring seamless communication and synchronization across components., • Establish and maintain system performance metrics to identify bottlenecks and optimize system behavior., • Conduct iterative testing and refinement to ensure systems meet real-world demands and constraints, • Software Integration and Testing, • Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules., • Conduct simulations and field tests to validate performance and optimize system behavior., • 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 performance., • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.What You Have, • US Person: Required due to export control regulations and project requirements., • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions., • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field., • Strong Programming Skills: Proficiency in Python and C++ for algorithm development and system integration. Experience with GPU programming (CUDA C++, PyTorch) a plus., • Understanding of System Integration and Engineering for Autonomous Systems: Solid cross-domain knowledge across a wide range of robotic autonomy modules, including localization, perception, planning, and controls., • Willingness to Travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel)., • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.What Will Set You Apart, • Experience with real-time systems or robotics middleware., • Familiarity with sensor integration and perception algorithms., • Knowledge of machine learning techniques applied to robotics., • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing., • Experience working in harsh or outdoor environments., • Experience working with offroad vehicles / offroad driving, • Advanced degree (Bachelors, Master’s) in Robotics, Computer Science, Electrical Engineering, or a related field. 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 • Design and Own RL-Based Locomotion Pipelines, • Architect and implement scalable reinforcement learning (RL) pipelines optimized for locomotion and manipulation., • Integrate physics-based simulation environments (Isaac Gym, Isaac Lab, MuJoCo) with custom training workflows., • Develop reward functions, policy architectures, and domain randomization strategies that close the sim-to-real gap. 2. Deploy Locomotion Behaviors on Physical Robots, • Create agile, robust locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware., • Solve real-world challenges in balance, contact-rich dynamics, high-DOF coordination, and terrain variability., • Drive iterative testing across terrain variability and unstructured environments. 3. Build and Scale Simulation Infrastructure, • Build scalable training environments using GPU-accelerated simulators., • Automate evaluation across domain-randomized scenarios and domain adaptation protocols., • Maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility. 4. Collaborate Across the Full Robotics Stack, • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution., • Incorporate real-world telemetry and field data to continuously improve model generalization., • Lead deployment workflows from experiment through lab testing to field robot validation.What You Have, • Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred)., • Deep expertise in reinforcement learning for continuous control., • 2+ years of experience developing and deploying locomotion policies on real robotic systems., • Hands-on experience with legged robot platforms (quadrupeds, bipedal systems, or exoskeletons)., • Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet., • Strong command of sim-to-real transfer — domain randomization, system identification, adaptive methods, and a track record of bridging the gap successfully., • Solid understanding of contact dynamics, control theory, and kinematics., • Strong Python and/or C++ development skills in Linux-based development environments., • Familiarity with machine learning frameworks (PyTorch, TensorFlow)., • A passion for building things that move in the real world.The Extras That Set You Apart, • 3+ years of experience in an industry or startup robotics setting., • Experience deploying neural network controllers on resource-constrained robotic platforms (real-time inference, onboard compute)., • Publications or open-source contributions in locomotion, RL, or control., • Familiarity with ROS/ROS2 or custom middleware for real-time control., • Background in manipulation, loco-manipulation, or whole-body coordination., • Experience debugging sim-to-real issues at scale., • Contributions to reinforcement learning libraries or simulation platforms. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We’re seeking a skilled and motivated Software Engineer, Developer Infrastructure to design, build, and maintain the internal systems that power our engineering organization. In this role, you will own development environments, tooling infrastructure, and build systems that enable teams across robotics, web, AI/ML, and data to ship reliably and efficiently. You’ll work closely with developers, DevOps, and infrastructure teams to improve code quality, developer velocity, and system consistency across our monorepo. This is a high-leverage role with broad impact across the company’s engineering output. What You'll Do: * Build and maintain containerized development environments * Develop and enforce automated code quality and style checks * Design and maintain internal CLI tools and developer workflows * Own and improve monorepo build systems, file structure, and documentation * Partner with robotics, web, data, and ML teams to support their development needs * Improve developer velocity, reliability, and consistency across the codebase What You Bring: * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) * 3–7 years of software engineering experience * Strong programming or scripting skills (Python or similar) * Hands-on experience with Docker or other containerization technologies * Solid understanding of Linux systems and development environments * Strong problem-solving skills and ability to collaborate across teams What Sets You Apart: * Experience with build systems such as Bazel or Nx * Experience supporting robotics software stacks (e.g., ROS, real-time systems, sensor integration) * Hands-on experience designing or maintaining CI/CD pipelines (e.g., GitHub Actions) Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As a Senior Machine Learning Platform Engineer, you will own the infrastructure that powers FiFM, from model hosting and distributed training pipelines to data systems, observability, and security.This is a role at the intersection of systems engineering and machine learning. You’ll design and operate large-scale ML platforms, ensure FiFM transitions smoothly from research into production, and optimize for both performance and cost across cloud and edge. In addition to building core infrastructure, you’ll play a leadership role by mentoring junior engineers, setting technical direction, and raising the engineering bar across the team.What You’ll Get To Do: • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation)., • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets., • Build and operate data systems for large-scale video ingestion, indexing, and storage., • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD., • Ensure reliability and observability with monitoring, logging, and alerting., • Collaborate with AI/ML Engineers to productionize workflows., • Optimize infrastructure for performance and cost across cloud and edge., • Enforce best practices in security, compliance, and maintainability., • Mentor and manage junior engineers, providing technical guidance and career development.What You Have:, • Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience)., • 4+ years of industry experience in ML infrastructure or platform engineering., • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices., • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless., • Hands-on experience building ML pipelines for distributed training and large-scale inference., • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets., • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation., • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow)., • Experience with system monitoring and observability in production.The Extras That Set You Apart:, • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval., • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray)., • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS)., • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.

Job DescriptionFieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job FieldAI is seeking a Vice President of Engineering to lead the engineering organization responsible for scaling our autonomous robotics platform from early deployments to large-scale, sustained field operations. This role works across software platforms and application engineering to ensure our robots, tools, and infrastructure are designed, tested, released, and operated with the rigor required for real-world autonomy at scale. You will partner closely with product, robotics, autonomy, and field operations leadership to align technical execution with a deployment-driven roadmap. This role blends technical depth, organizational leadership, and operational discipline, with a strong emphasis on reliability, repeatability, and system maturity.What You’ll Get To Do • Engineering Leadership and System Architecture, • Drive engineering efforts around a clear deployment-driven roadmap that supports reliable autonomous operation at increasing scale., • Guide the technical direction and architecture of FieldAI’s software stack, including on-robot systems, cloud services, data pipelines, and operator applications., • Ensure clear interfaces between autonomy, platform, and application layers to support parallel execution and scale., • Promote engineering practices that support long-lived, maintainable systems in safety-critical and operational environments., • Partner with product and autonomy leadership to translate deployment goals into concrete technical milestones and execution plans. Lead Software Platform Engineering, • Lead teams responsible for robotics QA, release processes, and validation pipelines that support predictable and safe software releases., • Guide development of automated testing infrastructure used for autonomy validation, regression testing, and deployment readiness., • Oversee autonomy analytics systems that collect, process, and analyze data from real deployments to measure performance, reliability, and system limits., • Guide software infrastructure efforts including CI/CD, dependency management, developer environments, documentation, and internal tooling., • Support cloud infrastructure for fleet operations, monitoring, data ingestion, ML workflows, and observability., • Collaborate with cybersecurity teams to ensure secure operation of on-robot and cloud systems. Lead Application Engineering for Robot Operations, • Lead application engineering teams building tools for robot operations, fleet management, mission planning, monitoring, and customer insight., • Ensure tight integration between robots, cloud services, APIs, and user-facing applications., • Support development of tools that reduce deployment effort, streamline onboarding, and automate triage and monitoring.Encourage clear separation between rapid operational support and longer-term platform evolution. Deployment Readiness and Execution, • Work with field and operations teams to ensure engineering systems support efficient, repeatable deployments., • Improve feedback loops from live operations into engineering through metrics, tooling, and structured processes., • Promote practices that reduce per-deployment engineering involvement over time through automation, documentation, and tooling., • Support uptime, reliability, and autonomy performance tracking across deployed robots. Planning, Prioritization, and Focus, • Establish clear planning and execution rhythms that align engineering teams around shared goals and timelines., • Improve visibility into team capacity, work in progress, and technical dependencies., • Help teams balance near-term operational needs with longer-term system improvements., • Support prioritization frameworks that keep engineering effort focused on the highest-impact work. Organization, Hiring, and Culture, • Mentor and develop senior engineering leaders across platform and application teams., • Partner with leadership to shape hiring plans, onboarding processes, and team composition., • Encourage engineering practices that protect deep technical work while supporting operational needs.Foster a culture of clarity, collaboration, accountability, and continuous improvement.What You Have, • 12+ years of experience in software engineering, with significant experience leading multi-team engineering organizations., • Proven experience delivering and operating complex systems in production or operational environments., • Strong technical background in distributed systems, infrastructure, reliability engineering, and software quality., • Experience with robotics, autonomy, embedded systems, or other safety-critical or operationally intensive products., • Demonstrated ability to work across autonomy, infrastructure, application, and operations domains., • Strong communication skills and comfort working cross-functionally at the executive level. The Extras That Set You Apart, • Experience scaling robotic or autonomous systems to broader operations., • Familiarity with simulation, autonomy validation, and performance analytics.

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 • 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., • 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., • 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. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. As a ROS Developer, you will play a critical role in developing advanced robotic applications built on our autonomy API for diverse real-world industries, including oil & gas, construction, and mining. You will focus on designing, implementing, and optimizing perception, localization, and control modules using ROS/ROS2 to create production-grade software for autonomous systems operating in some of the world's harshest environments. This role is ideal for engineers passionate about sensor integration, robust system development, and deploying scalable autonomy solutions tailored to high-impact industrial applications.What You Will Get To Do • Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and control., • Integrate and calibrate multi-modal sensors (LiDAR, thermal, RGB, GPS, IMU) for use in autonomous missions., • Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic., • Implement and optimize real-time data processing pipelines using C++ and Python., • Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making., • Design and test autonomous behavior on physical platforms in real-world field scenarios., • Troubleshoot robotic systems at the hardware-software interface and develop diagnostics and recovery systems.What You Have, • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field., • Strong software engineering skills, with proven experience building production-quality robotics applications., • Expertise in C++ and Python, writing clean, efficient, and maintainable code using modern best practices., • Hands-on experience developing with ROS/ROS2, including designing, building, and deploying custom nodes into complex robotic systems., • Solid understanding of localization, SLAM, sensor fusion, and navigation systems., • Familiarity with sensor integration (LiDAR, thermal, RGB, depth, GPS, IMU) and multi-modal data handling., • Practical experience with state estimation frameworks and real-time data processing pipelines., • Comfortable working with system-level topics like networking, inter-process communication (IPC), and middleware., • Strong problem-solving skills and attention to detail, able to work independently while managing multiple priorities., • Highly self-motivated, with excellent written and verbal communication skills and a strong collaborative mindset.What Will Set You Apart, • Experience deploying robotic software in production environments (construction, mining, oil & gas, or similar industries)., • Familiarity with noisy sensor data and building robust, resilient algorithms., • Experience integrating robotic systems with web services, APIs, and cloud infrastructure. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We're looking for a Senior Product Designer to craft the design voice for our product by creating polished customer interactive experience for a new category of technology. You'll bring a strategic design thinking, strong visual identity and aesthetic sensibility to everything you touch — defining the look, feel, and design language that makes our platform unmistakably FieldAI. Beyond the visual, you'll shape how customers operate their robots and unlock the insights and value that matter to their business. This isn't about a single screen or feature — it's about building a cohesive, intuitive experience for how humans work with autonomous robots at scale.What You'll Get To Do: * Define and own the visual identity and design language across our customer interactive experience — establishing the aesthetic standard that makes every surface of the product feel premium, intentional, and cohesive * Create and maintain a comprehensive design system, including design policies and primitives, visual style guide, design tokens, and documented interaction patterns that scale across the platform. * Bring an intuitive sense to how users work with robots across a variety of sites, environments, and use cases — translating complex robotic operations into clear, elegant industrial workflows * Design data products that communicate value — helping users not just see the rich data our systems generate, but understand what it means and act on it with confidence * Own design ops end-to-end: establish governance, versioning, and contribution processes for the design system to ensure consistency as the product and team grow * Collaborate closely with product, marketing, and engineering, teams to bring designs from concept to production — ensuring what ships matches the vision * Champion the user through research, feedback, and advocacy — whether they're field operators, site managers, or enterprise decision-makers What You Bring: * 5+ years of experience in systems design with a strong portfolio demonstrating visual craft and shipped digital products (complex platforms, interactive tools, or multi-layered applications preferred) * Proven experience building and maintaining design systems from the ground up — including component libraries, style guides, design tokens, and usage documentation * An understanding of Human-Robot Interaction (HRI) — whether through academic study, professional experience, or deep personal curiosity, you appreciate the unique challenges of designing for systems where humans and robots collaborate * Expertise in Figma as your primary design tool * Strong data visualization skills — the ability to make complex information clear, useful, and beautiful * Systems thinking — you can craft a single interaction and understand how it fits into a broader platform and design language * Excellent written and verbal communication skills — you can articulate design decisions, give and receive feedback gracefully, and collaborate across disciplines What Will Set You Apart: * Experience designing for robotics, autonomous systems, IoT, or other hardware-software products * Background in platform-level UX where information architecture, navigation patterns, and scalability are as important as any individual screen * Familiarity with real-time data interfaces, mapping, or geospatial UX * Experience designing for multi-site or multi-environment use cases * Comfort with prototyping interactions and micro-animations * Track record of establishing design culture and evangelizing design system adoption across engineering teams Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout 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 . About the Job We are looking for a highly organized and proactive Field Operations Coordinator to support and coordinate the Field Assist supervision program, which provides onsite and remote supervision for robotic deployments across construction sites, oil & gas facilities, and mining environments. This role focuses on coordinating hiring, onboarding, training, and ongoing communication for Field Assist resources, while supporting scheduling and logistics for field deployments. The ideal candidate is detail-oriented, people-focused, and comfortable working across operations, HR, and field teams in a fast-paced startup environment. What You’ll Get To Do 1. Hiring & Onboarding Support- Coordinate intern and contractor hiring logistics (scheduling interviews, collecting documentation, liaising with HR and recruiting)- Manage onboarding processes including documentation, system access, and equipment coordination- Deliver structured onboarding sessions and initial training material- Maintain onboarding checklists and ensure compliance requirements are completed 2. Field Team Coordination- Conduct regular sync calls with interns and contractors to track progress, address challenges, and ensure alignment- Serve as the primary point of contact for deployment-related administrative matters- Escalate field concerns appropriately and ensure timely follow-up- Maintain deployment staffing trackers and availability schedules 3. Performance & Feedback Management- Provide structured - feedback to interns and contractors- Collect upward feedback and summarize insights for leadership- Help monitor performance and identify training or support needs- Support performance documentation and evaluations 4. Timesheet & Administrative Oversight- Review and approve timesheets in coordination with project leads- Ensure accuracy of hours logged against deployments- Track utilization and contractor allocation- Coordinate with Finance/HR on payroll-related questions 5. Training & Process Improvement- Help develop and maintain training documentation and playbooks- Coordinate ongoing training sessions for field resources- Identify operational gaps and propose process improvements- Standardize communication, reporting, and tracking systemsThe Extras Set You Apart • Experience working with interns and contractors, • Familiarity with workforce planning or resource allocation, • Experience in a technical, engineering, robotics, or AI-driven environment, • Experience with timesheet systems and workforce tools, • Basic understanding of field deployments or customer-facing operationsKey Traits We’re Looking For, • Proactive and self-directed, • Structured and process-oriented, • People-focused and empathetic, • Comfortable providing constructive feedback

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

Job DescriptionAbout 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 . About the job This role increases organizational clarity and execution speed by combining AI-enabled workforce insight with disciplined matrix operations and structural governance as the company scales — while providing occasional surge support to HR for time-sensitive documentation and preparation work. Embedded in the Organizational Efficiency Program, this role works closely with HR and maintains equivalent HRIS visibility. What You’ll Get To Do 1) AI-Enabled People Insight & Executive Decision Support (Primary Ownership) - Be highly fluent with AI tools to generate leadership-ready insight from people and operating data (capacity risk, allocation imbalance, role overlap, skills coverage, structural complexity).- Build repeatable reporting and automation workflows that reduce manual work and raise signal quality across organizational reviews.- Produce concise, decision-oriented materials for exec reviews (monthly/quarterly org views, staffing tradeoffs, risk flags, recommended structural actions).- Maintain and continuously improve a People Insights Dashboard that provides current and forward-looking visibility by function and by project.- Treat AI as an operational multiplier: faster synthesis, higher consistency, and better quality documentation/insight. 2) Matrix Operations & Organizational Efficiency - Support, maintain, and continuously refine the company’s matrix structure documentation in collaboration with leadership.- Own and operate the matrix org across projects and functions; ensure each project–function “cell” has clear ownership and a staffing plan.- Assess staffing adequacy with project and functional leaders; identify gaps/risks and translate needs into allocation and hiring priorities for leadership and recruiting.- Maintain people/capacity visibility through structured staffing inputs (roles, skills, FTE allocation, priority order) and dashboard hygiene.- Define and continuously refine role responsibilities to be clear, non-overlapping, and complete as the org scales.- Prevent org bloat by running recurring role reviews and driving cut/merge/simplification decisions; require explicit justification and OKRs for any new role. 3) Organizational Mapping & OKR Process Infrastructure (System Ownership Only) - Maintain employee-to-project allocation mapping and reporting alignment views.- Own OKR cycle mechanics: timelines, inputs, tracking, and standardized OKR summaries for leadership review cycles.- Ensure OKR alignment across company / function / project from a systems and visibility standpoint (not content ownership). 4) Workforce Architecture & Documentation Governance - Maintain accurate, up-to-date role and talent profiles reflecting scope, allocation, interfaces, and reporting lines.- Ensure organizational documentation is structured, current, and consistently formatted (role charters, org maps, staffing plans, change logs).- Partner with HR to maintain structural HRIS hygiene (reporting lines, job architecture elements, allocation tags, required fields). 5) HR Generalist Surge Support (Crunch-Time Augmentation Only) During peak periods or time-sensitive events, this role may augment HR generalist execution to keep the organization moving — primarily through documentation and preparation work, including: - Stock option and equity-related documentation preparation and coordination (in partnership with HR/Finance/Legal as applicable)- Offer-support packet preparation, templates, and employment document coordination- Structured generation and maintenance of personnel/role documentation required for audits or leadership reviews- Backfilling HR process paperwork when bandwidth is constrained (without owning HR programs long-term) What You Have • AI fluency for analysis, reporting, and workflow support., • Strong experience with Google Workspace tools (Sheets, Slides, Docs, Forms)., • Excellent organization and documentation discipline., • Ability to support staffing, allocation, and organizational tracking., • Clear and effective executive communication., • High ownership and accountability in fast-paced startup environments.The Extras That Set You Apart, • 3–5+ years of experience in consulting, people analytics, organizational design, scaling operations, and/or program management., • Ability to think in systems and patterns, not just anecdotes., • Fluency with AI tools and automation, with the ability to apply them to improve workflows and decision-making., • Proven ability to translate ambiguity into clear structure, processes, and plans.

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 . About the Job The Robotics Application & Product Security Engineer will establish and own the company’s application and product security program, embedding security directly into the software development lifecycle to prevent vulnerabilities before release. This role goes beyond traditional application security: you will secure distributed robotics systems operating in real-world environments, along with the cloud services that manage, update, and communicate with them. You will integrate security controls into CI/CD, implement risk-based guardrails that reduce exposure without slowing engineering velocity, and partner closely with development teams to ensure secure design, implementation, deployment, operation, and supply chain resilience. Your work will directly impact the safety, reliability, and trustworthiness of deployed robotic systems. You will act as both a builder and an adversary: designing secure systems while actively identifying how they could fail under real-world attack conditions through application security assessments, targeted penetration testing, and adversarial analysis. You will apply principles from quality assurance and validation to ensure that security controls are not only implemented, but continuously verified under realistic operating conditions. What You’ll Get To Do * Orchestrate and bolster the application and product security program across robot, edge, and cloud systems. This includes defining standards, policies, and secure SDLC processes. * Evaluate and implement application security tooling (SAST, SCA, secrets scanning, container scanning, dependency analysis), including vendor assessment and ongoing evaluation of emerging tools and best practices. * Issue secure code training to issue best practices in design patterns, SOLID principals, and CLEAN architecture in regular lunch and learn sessions. * Prioritize tools that provide high-quality signals, integrate effectively into developer workflows, and support scalable security practices without unnecessary friction. * Partner with engineering teams to design secure architectures for APIs, services, and inter-process communication across robot, edge, and cloud systems. * Integrate automated security checks into CI/CD pipelines, including blocking pull request controls for high-risk findings. * Implement scheduled and out-of-band repository scans for exposed credentials, tokens, and misconfigurations. * Conduct threat modeling sessions for new features and architectural changes. * Perform targeted secure code reviews for high-risk components. * Define vulnerability prioritization criteria and drive remediation with engineering teams. * Develop secure coding guidance specific to the company's technology stack. * Deliver developer training and ongoing security consultation. * Report on vulnerability trends, remediation metrics, and program maturity to leadership. * Define and implement security controls for OTA update pipelines, including artifact signing, verification, and rollback safety. * Ensure software supply chain security practices, including SBOM generation, dependency risk analysis, and build provenance across the organization. What You Have * Advanced degree (M.S., Ph.D.) in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience. * 15+ years of experience in application security, product security, or software security engineering. * Proven experience securing distributed systems and APIs in production environments. * Strong background in secure software development lifecycle, including threat modeling, vulnerability management, and security-focused quality assurance and validation practices (e.g., defining test strategies, validating security controls, and ensuring fixes are verifiable and durable). * Strong programming ability in one or more of: C/C++, Python, Rust, or similar systems-level languages, with the ability to read, understand, and modify production code. * Ability to design and execute security validation strategies that combine testing, adversarial techniques, and system-level reasoning to verify that controls are effective under realistic conditions. * Hands-on experience conducting application security assessments (Layer 7), including APIs, authentication/authorization flows, and business logic vulnerabilities. * Deep understanding of authentication, authorization, and secure communication protocols (TLS/mTLS, OAuth, PKI). * Experience integrating security into CI/CD pipelines and working with modern security tooling (SAST, SCA, DAST). * Ability to reason about complex, multi-layered systems spanning device, network, and cloud boundaries. * Experience working closely with engineering teams to drive security improvements in real systems. * Experience performing security assessments of cloud-native and containerized environments, including container runtimes, orchestration platforms, and service-to-service communication. * Experience with targeted penetration testing and adversarial analysis, focused on validating real-world exploitability of application and system-level vulnerabilities. * Strong communication skills, with the ability to explain complex security concepts to diverse audiences. The Extras That Set You Apart * Strong background in offensive security and penetration testing, with demonstrated ability to identify and exploit vulnerabilities in application-layer (Layer 7) systems, APIs, and cloud-native environments, and translate findings into durable engineering improvements. * Experience securing systems that interact with physical hardware, such as robotics, IoT, automotive, or industrial platforms. * Background in designing or securing device-to-cloud communication protocols, including device identity, attestation, and command authorization. * Hands-on experience with OTA update systems, including signed artifacts, update orchestration, and rollback safety. * Strong understanding of software supply chain security, including SBOMs, dependency trust models, and build integrity. * Familiarity with robotics or real-time distributed systems. * Experience securing containerized and orchestrated environments in edge or resource-constrained systems. * Contributions to security tooling, open source projects, or published research in security or systems engineering. * Experience working across platform, infrastructure, and embedded teams to secure non-traditional application environments. Compensation and BenefitsOur salary range is between ($90,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Mechanical Systems Role:As a Mechanical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of mechanical systems that house and support sensing and compute platforms in real-world environments. From ruggedized enclosures to thermal management to manufacturability, your work will be critical to ensuring our systems operate reliably in the field. Responsibilities may span the full lifecycle from CAD through production to field support. You will collaborate closely with electrical, compute, and systems engineers to build tightly integrated solutions ready for deployment in challenging field environments. Additionally while your focus will be on mechanical systems you will likely contribute across all hardware domains.What You Will Get To Do • 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., • 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., • 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. 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 . About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Senior Robotics Engineer to lead the design, implementation, and deployment of advanced control systems and collaborative behaviors for our autonomous vehicle fleet. In this role, you will serve as a key planning and controls expert, solving complex challenges involving operating in unstructured environments. You will own the evaluation and implementation of advanced control schemes, ensuring computationally constrained systems operate reliably across new and existing robotic platforms. Furthermore, you will drive the development of multi-agent operations and fleet coordination behaviors. This is a highly impactful role for an engineer with deep expertise in control theory and multi-agent autonomy who can translate advanced research into robust, field-ready solutions. 1. Vehicle Planning and Control * Identify and model the dynamic behavior of autonomous vehicles to establish accurate baselines for motion planning. * Adapt and train control models to transition between diverse vehicle platforms. * Develop, optimize, and implement robust control stacks across the fleet to ensure safe and reliable operations. 2. Advanced Controller Design and Implementation * Evaluate advanced control schemes for varying vehicle architectures. * Design and implement computationally efficient control and planning algorithms tailored to the hardware and compute limitations. * Verify and validate new control schemes directly on physical robots, overcoming bottlenecks when porting controllers to new platforms. 3. Multi-Agent Autonomy and Collaboration * Lead architectural design discussions for heterogeneous multi-agent robotic operations and fleet coordination. * Develop and implement robust collaborative behaviors for our vehicle fleets operating in unstructured environments. * Execute, test, and deploy multi-agent behaviors to ensure the timely delivery of capabilities for key customer milestones. 4. Field Robotics Integration and Testing * Deploy theoretical control schemes and multi-agent behaviors onto real-world robots operating in demanding, dynamic environments. * Leverage deep domain expertise in off-road field robotics to ensure software robustness against unpredictable terrain and environmental conditions. * Bridge the gap between advanced multi-agent research and practical, reliable product development for real-world deployments. 5. Technical Leadership and System Scalability * Serve as a resident planning and controls expert, filling critical knowledge gaps and guiding technical strategy for the engineering team. * Lead the effort to generalize highly specific robot controllers, ensuring new robots can be brought online quickly and efficiently. * Ensure the timely delivery of critical autonomy capabilities to fulfill broader company goals, operational promises, and customer contracts. What You Have * Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on planning, controls, or multi-agent systems; OR an MS degree in a related field with 3+ years of relevant industry experience. * Deep expertise in modern control theory, specifically with predictive and sampling-based control methodologies (such as MPC and MPPI), and vehicle dynamics modeling. * Proven experience designing, implementing, and testing multi-agent autonomy behaviors (e.g., convoying, formation control, or heterogeneous fleet coordination). * Hands-on experience deploying complex control and planning algorithms onto physical robots, rather than just in simulation. * Experience working with large-scale or off-road autonomous vehicles operating in unstructured, real-world environments. * Strong ability to design and implement computationally constrained control schemes tailored to the compute limitations of embedded robotic platforms. * Ability to verify, validate, and debug complex control architectures, overcoming system-level bottlenecks when adapting software to new vehicle platforms. * Strong ownership mindset with the ability to serve as a resident technical expert, bridging the gap between advanced autonomy research and reliable product deployment. The Extras That Set You Apart * Experience with field robotics, off-road vehicles, or high-speed / safety-critical robotic systems. * Background in control theory, including classical and learning-based controllers. * Experience with low SWaP (Size, Weight, and Power) robotic platforms. * Prior ownership of system integration or technical leadership for a robotic platform. * Experience mentoring junior engineers or leading integration efforts in small teams. * Familiarity with autonomy stacks, planning systems, or real-time robotics software architectures. * Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Embedded Compute Role:As an Embedded Compute Engineer on the Hardware Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.What You Will Get To Do • Compute System Design, • Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection., • Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces., • Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements., • Compute System Implementation, • Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I²C, SPI, CAN)., • Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components., • Systems Configuration: Create configuration files, launch scripts, and firmware update workflows., • Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis., • Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets., • Compute System Production & Servicing, • Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling., • Debug: Support root-cause analysis for boot, connectivity, and throughput issues., • Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools. Monitor compute system performance across CPU, GPU, memory, I/O, and networking.What You Have, • Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field., • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers., • Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs)., • Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools., • Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments., • Programming: Proficient in C++ and Python for embedded and application-level development., • Communication Protocols: Experience with USB, Ethernet, I²C, SPI, CAN, GMSL, and similar interfaces., • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing., • Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers)., • Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers.What Will Set You Apart, • Scaling: Experience taking systems from prototype to large scale production., • Field Environments: Experience developing systems for harsh field environments., • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., • Systems Level Robotics: Fluency across software, electrical, and mechanical systems. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, 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 • 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., • 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., • 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. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We’re looking for a Software Engineer, Test Infrastructure to build and scale the systems that ensure the reliability of FieldAI’s robotics platform. In this role, you will design and develop the infrastructure, tools, and automation that power testing across simulation and real-world environments. You’ll work closely with robotics, ML, and infrastructure teams to improve software quality, reduce manual testing, and increase confidence in every release. What You'll Do * Design and build scalable test infrastructure and automation systems * Develop frameworks for unit, integration, and system-level testing * Improve reliability and coverage across simulation and real-world validation workflows * Build tools to support debugging, test orchestration, and failure analysis * Partner with engineering teams to identify gaps in testing and improve quality * Integrate testing into CI/CD pipelines and developer workflows * Improve test reliability, reduce flakiness, and increase signal from test systems What You Bring: * 3+ years of experience in software engineering, test infrastructure, or automation roles * Strong programming skills in Python * Experience building testing frameworks, tools, or developer-facing systems * Familiarity with Linux-based development environments * Strong debugging and problem-solving skills * Experience working closely with engineering teams on system quality What Will Set You Apart: * Experience testing robotics, distributed systems, or infrastructure platforms * Familiarity with simulation environments or system-level validation * Experience with CI/CD systems and large-scale test automation * Experience with containerization (e.g., Docker) * Exposure to hardware-software integrated systems Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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. We are seeking a skilled and motivated DevOps Engineer to join our engineering team. In this role, you will design, build, and maintain the infrastructure and automation that powers our development and deployment workflows. You will work closely with robotics, machine learning, and software engineers to ensure reliable CI/CD pipelines, scalable infrastructure, and efficient development operations. This is an exciting opportunity to help build robust systems that support complex robotics and AI workloads in a very fast-paced environment.What You Will Get To Do • Develop and maintain CI/CD pipelines using GitHub Actions to support multiple software stacks including Python, C++, ROS, and Docker and Kubernetes based services., • Design, build, and maintain containerized environments for development, testing, and production using Docker, Kubernetes and relevant technologies., • Deploy and manage heterogeneous workloads on Kubernetes clusters using cloud native tools., • Maintain and optimize monorepo build workflows and repository structure., • Build automation to support testing, packaging, and deployment of robotics and software systems., • Work closely with robotics, machine learning, and software engineers to streamline development and release processes., • Monitor system performance, reliability, and deployment health across environments., • Improve developer productivity through tooling, automation, and infrastructure improvements.What You Have, • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).3-7 years of experience in DevOps, Infrastructure Engineering, Cloud or related roles., • Strong experience with CI/CD systems such as GitHub Actions or similar tools., • Strong hands-on experience working with container and container orchestration tools like Docker, Kubernetes, Buildkit etc.,Strong scripting or programming skills in Python, Bash, or similar languages., • Solid understanding of Linux systems and networking fundamentals., • Excellent problem-solving skills and the ability to work collaboratively in a team environment.What Will Set You Apart, • Experience managing large monorepos and build-systems., • Experience supporting robotics or distributed systems environments (e.g., ROS).Familiarity with infrastructure-as-code tools such as Terraform or similar., • Experience scaling infrastructure across cloud and edge/embedded environments., • Experience building observability-first systems using cloud native tools., • Experience building developer tooling and automation for engineering teams., • Kubernetes certifications such as CKA, CKAD, or CKS.

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 . About the Job We are looking for a Verification and Validation Software Engineer to own the quality bar for Field AI’s off-road autonomy, legged, and humanoid robotics stacks—designing strategy, building tooling, and shipping the evidence that proves we’re safe and ready for the real world. You’ll implement scalable scenario-based testing (SIL/HIL + high-fidelity simulation), stand up CI pipelines and metrics that catch regressions early, and lead structured field validations where the terrain is messy and the stakes are real. Day to day, you’ll partner with perception, planning, controls, and hardware to define clear entry/exit criteria, instrument systems for truth, and turn logs into actionable insights that raise reliability every week. If you love breaking things so customers don’t have to, care deeply about measurable safety, and want your rigor to translate into robots that confidently tackle the world, this is the role for you.What You’ll Get To Do: • Own end-to-end V&V for autonomy stacks, • Define test strategies for perception, planning, and control across vehicle and robot platforms, • Build SIL/HIL pipelines for continuous regression and performance tracking, • Establish entry/exit criteria, traceability, and sign-off gates, • Level up our simulation & scenario coverage, • Develop realistic, adversarial scenarios (terrain, weather, lighting, sensor faults), • Create large-scale batch tests using scenario generators and digital twins, • Calibrate sim-to-real via data replay and hardware characterization, • Engineer reliable test infrastructure, • Implement CI/CD integrations (build, artifacting, test orchestration, dashboards), • Develop tooling for log capture, triage, and automated failure bucketing, • Track metrics: requirement coverage, code coverage (incl. MC/DC), and safety KPIs, • Prove safety and reliability in the field, • Plan and run structured field validations for off-road, legged, and humanoid use cases, • Execute fault-injection and degraded-mode testing with clear escalation paths, • Produce evidence packages for internal design reviews and external stakeholdersWhat You Have:, • 2–5+ years in software or robotics V&V, QA, or test infrastructure (or equivalent research/industry experience), • Strong coding in Python and/or C and/or C++ for test harnesses, automation, and analysis, • Hands-on with ROS/ROS 2, bag tools, and robotics logging/telemetry workflows, • Experience designing SIL/HIL setups, simulators, and scenario-based testing at scale, • Familiarity with autonomy components (perception, localization, mapping, planning, control), • Proficiency with CI/CD (e.g., GitHub Actions, GitLab), containers, and build systems (CMake), • Comfort with sensors and data: cameras, LiDAR, IMU, joint/force sensors; calibration & synchronization basics, • Clear, concise technical writing: test plans, results summaries, risk registers, and release notes, • A pragmatic, evidence-driven mindset and bias for automation over manual toilThe Extras That Set You Apart:, • Domain experience in off-road autonomy (unstructured terrain, slip, wheel/track dynamics), • Experience with legged/humanoid robots (whole-body control, contact/force validation), • Deep simulation chops: Isaac Sim, Gazebo custom scenario engines, • Fault-injection and robustness testing (sensor dropouts, time skew, GPS denial, actuator faults), • Statistical testing & evaluation: scenario coverage metrics, outlier analysis, reliability modeling, • ML evaluation experience (perception KPIs, dataset curation, drift detection, labeling QA), • Tooling you can show: log diff/visualization tools, test dashboards, scenario libraries

Job DescriptionAbout UsField 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. Assembly Technician RoleAs 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 Will Get To Do • 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. 2. 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 connectorization, pinouts, and harness strain-relief practices. 3. 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. 4. 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. 5. 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. What Will 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.

Job Description Location: Irvine, CA (5 days onsite) Type: Full-time About Field AI Field AI is building advanced AI systems to power real-world autonomy. As a fast-growing company at the forefront of innovation, we move quickly and operate with high standards, supporting leaders who are shaping the future of AI. Role Overview We are seeking a highly organized, proactive, and resourceful Senior Executive Assistant to support our C-level leadership. This role is critical to the day-to-day effectiveness of our leadership team. You will act as a trusted partner, managing priorities, anticipating needs, and ensuring seamless operations across scheduling, communications, and executive initiatives. What You’ll Get To Do • Manage complex and dynamic calendar scheduling across multiple time zones, prioritizing meetings and resolving conflicts, • Coordinate domestic and international travel, including itineraries, scheduling details, and expense reconciliation, • Serve as a gatekeeper for the C-level leadership’s time, ensuring focus on highest-impact priorities, • Support meeting preparation, including agendas, materials, note-taking, and follow-ups on action items, • Draft and manage communications on behalf of the C-level leadership, including emails and internal updates, • Partner cross-functionally with leadership and other stakeholders to drive alignment and execution, • Plan and coordinate executive meetings, events, and offsites, • Maintain confidential files, documents, and records with a high level of discretion, • Anticipate needs, solve problems proactively, and improve administrative processes for efficiency, • Support special projects and initiatives as neededWhat You Have, • 8+ years of experience supporting senior executives, ideally at the C-suite level, • Strong organizational skills with exceptional attention to detail, • Ability to manage competing priorities in a fast-paced environment, • High level of professionalism, judgment, and discretion with confidential information, • Excellent written and verbal communication skills, • Advanced proficiency in Google Workspace and/or Microsoft Office tools, • Ability to work onsite in Irvine, CA, five days per weekThe Extras That Set You Apart, • Experience supporting a C-level leadership directly, • Background in a high-growth startup or fast-paced environment, • Experience coordinating across global teams and time zones

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

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

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment. What You Will Get To Do * Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows. * Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment. * Build tools and automation to support reproducible experiments, model versioning, and dataset management. * Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources. * Monitor model performance and system reliability across development and production environments. * Improve the efficiency, scalability, and reliability of ML workflows and infrastructure. * Work with cross-functional engineering teams to integrate ML components into robotics software systems. What You Have * Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). * 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles. * Strong programming skills in Python or similar languages. * Experience building and maintaining machine learning pipelines. * Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc., * Solid understanding of Linux systems and distributed computing environments. * Experience with GPU workload scheduling and orchestration across multi-region cloud environments. * Excellent problem-solving skills and the ability to work collaboratively in a team environment. What Will Set You Apart * Experience deploying and operating ML systems for robotics or real-world physical systems. * Experience with scaling AI, ML, and inference workloads on Kubernetes. * Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds) * Experience with experiment tracking, model versioning, or dataset versioning tools. * Experience optimizing ML pipelines for large-scale training and data processing. * Experience working closely with research or applied machine learning teams. Compensation and BenefitsOur salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 . 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. 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). * Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc * Solid programming skills in C++ and Python on Linux-based systems. * Familiarity with robotics middleware such as ROS/ROS 2. * Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders. * Ability to work on US government project The Extras That Set You Apart * Exposure to real-world deployment of autonomous systems. * Background in optimization, control, or numerical methods for trajectory planning. * Familiarity with learning-based or hybrid planning approaches. * Contributions to open-source planning or control frameworks. * Familiarity with safety-critical autonomy and industrial robotics use cases. This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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, • 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., • 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., • 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., • 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.

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 As a Forward Deployed 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.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. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Job: Robotics Software Engineer – Robot Integrations Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Software Engineer – Robot Integrations, you’ll lead the integration of new robotic platforms into our software stack and help make them reliable, controllable, and deployment-ready. You’ll develop and maintain robot drivers and interfaces spanning state, sensing, actuation, and control, while improving the performance and responsiveness of robots across a range of platforms. This role sits at the intersection of robotics software, controls, and systems integration. You’ll work closely with hardware and software platform teams to bring up new robots, improve existing integrations, and ensure our systems perform robustly in the lab and in the field. If you enjoy working directly with real robots, solving full-stack integration challenges, and turning complex hardware into dependable, high-performing systems, this is your role. This is Field AI. What You’ll Get To Do1. Lead Robot Integrations * Bring up and integrate robotic platforms into Field AI’s software stack. * Develop and maintain robot drivers and interfaces for sensing, state, command, and control. * Build reusable integration patterns that support multiple robot types, including legged, wheeled-legged, wheeled, and humanoid systems. * Work across vendor SDKs, middleware, and internal software abstractions to create robust platform support. 2. Build and Maintain Core Robot Software Interfaces * Design and improve software components for robot state, calibration, timing, diagnostics, and control paths. * Maintain reliable interfaces between onboard compute, sensors, actuators, and higher-level autonomy software. * Debug issues across software, networking, hardware communication, and system configuration boundaries. * Improve maintainability, observability, and robustness of robot integration infrastructure. 3. Continuously Improve Control Performance and Robot Behavior * Profile end-to-end system performance from perception and state updates through command execution. * Tune and refine control strategies to improve stability, responsiveness, and overall controllability. * Analyze telemetry and on-robot behavior to identify bottlenecks and drive meaningful performance improvements. * Help ensure each platform achieves strong motion quality and dependable real-world behavior. 4. Collaborate Across Hardware and Software Teams * Partner closely with hardware teams during bring-up, validation, and troubleshooting of new robotic platforms. * Work with software platform teams to improve tooling, deployment workflows, abstractions, and testing infrastructure. * Support structured validation from bench testing to full robot trials. * Contribute to best practices for integration, regression testing, and long-term platform support. What You Have * Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or a Bachelor’s degree in one of these disciplines with relevant hands-on experience working with real robotic systems. * Strong software engineering skills in C++ and/or Python in Linux-based environments. * Hands-on experience working with real robotic systems through industry, research, or advanced project work. * Experience integrating and debugging one or more robotic platforms, such as legged, wheeled-legged, wheeled, or humanoid robots. * Familiarity with robotics middleware such as ROS/ROS 2 or similar distributed robotics software systems. * Understanding of robot interfaces across sensing, state estimation, actuation, and control. * Comfort debugging real-world system issues involving networking, timing, hardware communication, and software integration. * Ability to work effectively across adjacent domains, including software, electronics, networking, and mechanical interfaces. The Extras That Set You Apart * Experience writing or maintaining robot drivers, SDK integrations, or hardware abstraction layers. * Experience with communication interfaces and protocols such as CAN, EtherCAT, serial, UDP/TCP, or similar. * Familiarity with control system tuning and performance profiling on physical robots. * Exposure to calibration, synchronization, diagnostics, and deployment tooling for robotic platforms. * Experience supporting robot bring-up from early integration through production-quality reliability. * Familiarity with simulation, hardware-in-the-loop testing, or regression testing pipelines. * Prior work in cross-functional environments involving robotics software, hardware, and platform teams. Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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. FieldAI is seeking a 3D Computer Vision Engineer to develop advanced algorithms for 3D reconstruction and spatial understanding. In this role, you will work with high-fidelity laser scanners and imaging sensors to design and optimize pipelines for processing, analyzing, and structuring large-scale 3D point cloud datasets. You will focus on computational geometry, reconstruction accuracy, and production-grade implementation — delivering precise geometric insight from real-world data. This role emphasizes strong mathematical foundations and high-performance software over direct robot hardware development.What You Get To Do: • Develop and optimize point cloud processing pipelines, including registration, denoising, normal estimation, segmentation, and primitive extraction, • Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance, • Implement production-grade computational geometry and linear algebra in C++ and Python, • Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion, • Evaluate and integrate emerging 3D vision methods (e.g., neural implicit representations, advanced meshing techniques), • Partner with platform teams to ensure scalable, efficient deployment of algorithmsWhat You Bring:, • 2+ years of experience in Computer Vision, Computational Geometry, or 3D-focused Software Engineering, • Master’s or Ph.D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or geometric processing, • Strong proficiency in modern C++ (C++14/17) and Python, • Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry, • Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing) and spatial data structures (k-d trees, octrees, voxel grids), • Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres, • Familiarity with common 3D data formats (PCD, PLY, E57, LAS), • Strong problem-solving skills and ability to translate academic research into production-ready codeWhat Sets You Apart:, • Experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) for bundle adjustment or pose graph optimization, • Background in SLAM or Structure from Motion (SfM) pipelines, • Experience processing LiDAR, RGB-D, or photogrammetry datasets, • Familiarity with Linux development environments and containerization (Docker), • Exposure to ROS (not required) 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 . About the Job We are seeking a Robotics Platform Security Engineer to serve as the lead architect for our security. This role is not about theoretical research; it is a high stakes, applied position centered on building a robust Root of Trust from the silicon up. You will be responsible for the "Base Layer" of our autonomous systems—architecting Secure Boot flows, managing hardware-backed cryptographic keys, and engineering hardened UNIX/Linux environments that can withstand both remote network attacks and direct physical tampering. Your mission is to ensure the robotic platform is a "Fortress OS" before a single line of mission-specific code is ever executed. What You’ll Get To Do * Hardware Root of Trust & Secure Boot: Design and implement the end-to-end boot chain (from UEFI/Secure Boot to Measured Boot) to ensure the hardware validates every stage of the bootloader and kernel via TPM or Secure Elements. * Applied OS Hardening: Construct UNIX/Linux golden build images. This includes deep sysctl tuning, authoring custom AppArmor profiles, and stripping the kernel of non-essential drivers to eliminate lateral movement vectors. * Hardened Network Architecture: Engineer the robot’s security, utilizing mTLS for inter-process communication and configuring strictly scoped iptables/UFW policies to isolate sensitive control telemetry from external interfaces. * Security Orchestration (Python): Build a suite of Python tools to automate continuous security posture checks, including CIS Benchmark audits, automated certificate rotation, and real-time integrity monitoring via auditd. * Applied Vulnerability Research: Proactively identify and patch CVEs in the Linux ecosystem, using Python for automated fuzz testing of networking protocols and system interfaces. What You Have * Applied System Mastery: Expert-level experience in Linux/UNIX administration and security hardening. You have a proven history of creating production-ready "Golden Images" compliant with STIG or CIS Benchmarks. * Hardware Security Expertise: Hands-on experience with TPM 2.0, Secure Elements (SE), and hardware-backed key storage. You understand the physical trust boundary of an embedded system and autonomous fleet. * Dual-Stack Programming: High proficiency in C/C++ for low-level system interactions and Python for building complex security automation and audit frameworks. * Network Defense: Deep knowledge of defensive networking, including VPN overlays, SSH hardening, and encrypted transport protocols (TLS/mTLS) for real-time systems. * Problem-Solving: The ability to conduct comprehensive threat modeling for robotic platforms, specifically identifying risks in the boot process and network-exposed interfaces. The Extras That Set You Apart * Experience designing or implementing a complete secure boot and measured boot chain * Hands-on work with TPM backed disk encryption and remote attestation * Experience securing over-the-air (OTA) update systems * Deep familiarity with Linux boot internals (UEFI, GRUB, shim, UKI) * Experience hardening systems that operation in physically adversarial or untrusted environments * Strong understanding of network isolation and encryption Compensation and BenefitsOur salary range is between ($90,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results. If you’re a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!What You'll Get To Do • Develop and integrate autonomy stacks (perception, planning, control) across simulation and real-world deployments., • Build real-to-sim pipelines using 3D reconstruction (NeRF, Gaussian Splatting, photogrammetry) for realistic sensor and environment modeling., • Deploy high-fidelity simulation workflows (Isaac Sim, Gazebo, ROS2) to validate autonomy algorithms., • Collaborate with hardware teams to bring robots from lab to field — from system modeling to real-world testing. What You Have, • Bachelor’s or Master’s in Robotics, Computer Science, Electrical Engineering, or related field., • 2+ years of experience in robotics software development., • Strong skills in Python, C++, and familiarity with ROS2., • Hands-on experience in robotics simulation and field deployment., • Understanding of autonomy modules — localization, perception, planning, and control., • Experience with 3D reconstruction or domain adaptation is a plus.What Will Set You Apart, • Experience with GPU programming (CUDA, PyTorch) or machine learning for robotics., • Background in off-road / outdoor robotics or industrial settings., • Familiarity with safety standards or real-time middleware.Why Join, • Work at the frontier of autonomy — bridging the gap between simulation and reality., • Build systems that go from digital twin to deployed robots in challenging real-world environments. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are 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: We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. As a 3D Machine Learning Engineer, you will focus on designing, implementing, training, and maintaining cutting-edge 3D and multimodal machine learning models that process reality capture data such as 3D point clouds, 360 photos, and RGBD images. Your work will directly contribute to automated progress tracking, deviation analysis, and semantic scene understanding of construction sites. You will collaborate closely with software, autonomy, and product teams to ensure seamless integration of these AI models into our production environments. 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.

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 Robotics Software Engineer, Mapping to design and deploy advanced robot perception and 3D mapping systems at FieldAI. Based in our Irvine office, this is a true robot-in-the-loop role where you will work hands-on with physical robots, real sensors, and real field environments. FieldAI’s Irvine team sits at the center of Southern California’s robotics ecosystem, building risk-aware, reliable, and field-ready AI systems that operate outside the lab. In this role, you will develop scalable, production-grade point cloud and mapping pipelines that power customer deliverables and globally deployed robotic systems. You will own workflows spanning data capture through documentation, integrating laser scanners, validating mapping performance in realistic environments, and continuously improving reliability through rigorous engineering.What You’ll Get To Do • Develop and refine point cloud processing pipelines, including scan alignment, noise reduction, segmentation, and object detection, • Design and implement scalable systems for storing, processing, and managing large-scale 3D point cloud datasetsImplement and optimize mapping and perception algorithms in C++ and Python, • Maintain a clean, well-documented, and production-quality codebaseIntegrate and evaluate emerging tools and technologies to improve point cloud workflowsEnsure compliance with industry standards for 3D documentation, accuracy, and data quality, • Collaborate cross-functionally to meet project-specific documentation requirements and customer deliverablesValidate algorithms through testing on real robots and in real-world environmentsWhat You Have, • Master’s degree or Ph.D. in Computer Science, Engineering, or a related field, with expertise in robotics and 3D computer vision., • Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code., • Solid background knowledge of 3D geometry, computer vision, and robot kinematics (e.g., transformation matrices)., • Solid understanding of point cloud data structure and related algorithms (e.g., ICP, NDT)., • Hands-on experience with tools and libraries such as PCL, Open3D, and CloudCompare., • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu., • Familiarity with LiDAR systems and 3D data formats (e.g., PCD, PLY, E57, LAS)., • Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities., • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills.The Extras That Set You Apart, • Research experience with publications in top-tier robotics, computer vision, or machine vision venues, • Experience with optimization and backend libraries such as Ceres, GTSAM, or g2o, • Familiarity with geospatial data, georeferencing, and coordinate systems

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 MappingLocation: Mission Viejo, CA 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 . 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.) We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. 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. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We’re looking for a Software Engineer, Product to build and own customer-facing products at the intersection of embodied AI, robotics, and real-world data. You’ll work closely with AI, robotics, product, and commercial teams to transform robotically captured data from complex construction environments into intuitive, high-impact software used on active job sites around the world. This is a hands-on role for engineers who enjoy shipping real products, operating close to customers, and seeing their work deployed beyond a lab or dashboard.What You Will Get To Do • Own full-stack product features from design through production, • Build scalable backend services using Node.js (Express) and Python, • Develop modern, high-performance frontends using React, • Implement 3D visualization features using Three.js / WebGL, • Design APIs, data models, and system architectures using clean design principlesPartner closely with AI, robotics, product, and commercial teams, • Debug performance issues and optimize rendering, data, and API pipelinesContribute to shared codebases and raise engineering quality through reviews and collaborationWhat You Have, • Typically 5–10+ years of experience building and shipping production software, • Strong proficiency in TypeScript, JavaScript, Node.js, and React, • Solid system design skills across data modeling, APIs, and UI/UX tradeoffsExperience working with MongoDB and Redis (or similar databases)Hands-on experience deploying and operating applications in AWS (or equivalent cloud platforms), • Strong collaboration and communication skills across technical and non-technical teamsWhat Will Set You Apart, • Experience with BIM or construction technology workflows, • Experience with 3D graphics technologies (Three.js, WebGL, shaders, or similar), • Familiarity with monorepo architectures (Nx, Lerna), • Experience integrating with Autodesk platforms (Revit, APS/Forge)Proficiency using the AWS SDK 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.

The Service Installer is an essential part of Tesla's Field Energy Operations team.Employees working in this role are leading the drive towards completing Tesla's mission-to accelerate the world's transition to sustainable energy.As a Service Installer, each employee is working with the latest solar

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. As a Senior Technical Recruiter, you're not just filling roles — you're shaping the future of the team. You’ll partner closely with hiring managers and business leaders to drive talent strategy, streamline hiring processes, and champion an outstanding candidate experience. From leveraging sourcing tools to sharing Field AI’s mission to top-tier talent, you’ll be a trusted force in building high-performing, inclusive teams.What You'll Get To Do Key area 1 - Strategic Talent Partnership * Build and maintain trusted relationships with business leaders to align on talent strategies. * Influence hiring plans and headcount decisions with market insights and hiring data. * Act as a positive and strategic representative of the People Operations team. * Partner with the Sr. VP of People Ops to craft compelling and competitive offer packages. * Contribute to long-term talent initiatives including referral programs and workforce planning. Key area 2 - End-to-End Recruiting Operations * Design, implement, and continually optimize a scalable, best-in-class hiring process. * Partner with hiring managers to define roles, assess team needs, and establish clear recruiting goals. * Drive a consistent and high-quality candidate experience at every touchpoint. * Use advanced sourcing techniques including Boolean strings, LinkedIn Recruiter, and targeted outreach campaigns. * Manage high-volume candidate pipelines with attention to speed, efficiency, and quality. * Conduct interviews with a high interview-to-offer ratio, anticipating hiring manager needs and preferences. * Track recruitment KPIs to continuously optimize the hiring funnel and drive pipeline momentum. * Maintain up-to-date and accurate reporting on job postings and hiring activity. * Use data insights to support process improvement and inform strategic decisions. Key area 3 - Industry-Focused Talent Engagement * Embed within teams to understand technical roadmaps, product goals, and team culture—especially within mining and construction operations. * Leverage industry knowledge to identify and attract top talent aligned with Field AI’s mission. * Effectively pitch open roles and company vision to highly skilled and passive candidates. Key area 4 - Candidate Experience & Employer Brand * Deliver outstanding candidate communication, ensuring transparency, responsiveness, and professionalism. * Represent and elevate the Field AI employer brand, especially among technical and field-based talent. * Collaborate on diversity hiring initiatives with an inclusive, mission-forward approach. What You Have * 5+ years of in-house, full-cycle recruiting experience, with a strong background in technical engineering roles in the robotics and AI industry. * Bachelor's in Business, Economics, HR, or other relevant area * Proven success managing high-volume requisitions and sourcing passive candidates. * Proven ability to hire across technical, operational, and leadership roles, with special expertise in niche or hard-to-fill roles. * Expertise in advanced sourcing techniques, including Boolean search, LinkedIn Recruiter, GitHub, Stack Overflow, and talent databases. * Consistent track record of high interview-to-offer conversion rates and low time-to-fill metrics. * Demonstrated ability to partner closely with hiring managers, senior leaders, and cross-functional stakeholders to align on talent needs and hiring strategy. * A high sense of urgency and a keen ability to influence internal and external stakeholders. * High emotional intelligence with strong negotiation, influencing, and communication skills. * Deep knowledge of ATS platforms (e.g., Greenhouse, Lever, Workday). * Skilled at building and optimizing scalable, repeatable hiring processes that enhance speed and quality. * Highly organized with excellent project management skills. * Naturally collaborative, with a growth mindset and a passion for building great teams. The Extras That Set You Apart * Proficient in recruiting metrics, funnel tracking, and using data to improve outcomes (e.g., pipeline health, offer acceptance rates). * Substantial experience recruiting for technical (engineering) roles in construction, mining, oil & gas, and energy sectors. * Experience developing analytical tools for people operations or related functions. Compensation The salary range for this role is $120,000 - $145,000. 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. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are hiring a General Manager, Construction to own FieldAI’s success in construction. This role is accountable for ensuring our technology aligns with real construction workflows, delivers value on live jobsites, and scales across customers with credibility. The General Manager, Construction operates with end-to-end ownership for construction outcomes and partners closely with Product and Engineering to shape direction based on field reality. What You Will Do: • Strategic Leadership, • Define and own the construction vertical strategy, including market positioning, target segments, and expansion priorities, • Identify high-value construction use cases aligned with Field AI’s technical strengths, • Make strategic tradeoffs between customer opportunities, product capabilities, and long-term platform scalability, • Represent the construction vertical in executive planning and cross-functional prioritization Operational Ownership, • Drive operational alignment across Product, Engineering, and Go-To-Market for construction initiatives, • Establish clear success metrics for construction deployments and ensure accountability against them, • Oversee pilot-to-scale transitions within construction accounts, • Identify and resolve execution bottlenecks that impact construction delivery and adoption Financial & Business Accountability, • Own construction vertical performance against revenue, margin, and growth targets, • Evaluate deal structures, deployment models, and expansion strategies for long-term sustainability, • Inform pricing, packaging, and commercial strategy for construction offerings, • Balance short-term revenue opportunities with long-term product and margin health Domain & Market Leadership, • Ensure FieldAI’s technology aligns with real construction workflows and jobsite constraints, • Engage directly with strategic construction customers and partners, • Represent FieldAI in industry forums and executive customer discussions What You Bring:, • 10+ years of experience in construction, construction technology, or adjacent industrial sectors, • Experience owning business performance, vertical strategy, or P&L components, • Strong understanding of construction workflows, digital delivery, and technology adoption challenges, • Demonstrated ability to drive cross-functional initiatives in complex environments, • Financial fluency and comfort evaluating revenue models, cost structures, and deployment economics, • Executive presence with the ability to influence internal and external stakeholdersWhat Will Set You Apart:, • Experience working with robotics, autonomy, or AI-driven systems 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 . About the Job We are seeking a skilled and motivated Federal Project Manager to lead and coordinate complex technology projects from conception through completion. The ideal candidate will have a strong technical background combined with excellent project management skills to ensure timely delivery of high-quality solutions that meet business objectives. What You’ll Get To Do * Drive strategic execution across multi‑project portfolios defining milestones, manage budgets, oversee resourcing across engineering, field ops, product, and business teams. * Align stakeholders and cross‑functional teams to ensure clarity of scope, dependencies, risks, and timelines for successful robot deployment programs aligned with company goals. * Coordinate go‑to‑market readiness to work with product, operations, and customer success teams to ensure deployment programs meet performance, safety, and scalability requirements. * Track program performance metrics to monitor statuses, escalate risks proactively, and report on progress, financials, and ROI to leadership and investors. * Prepare strategic communications to lead the creation of executive updates, board materials, and investor presentations. * Identify and unblock risks for surface technical, operational, or commercial issues early and drive resolution to keep programs on target. What You Have * Bachelor’s degree in Business Administration, Operations Management, or a related field * 2+ years in program or portfolio management, ideally in AI/ML, robotics, industrial automation, or similar technology domains. * Experience in project management for government contracts * Must have demonstrated experience tracking project management activities, deliverables, and team coordination for deployments. * Experience tracking comms with customers. * Comfortable translating between technical teams and business objectives. * Proven track record managing complex programs with multiple dependencies in agile/hybrid frameworks. * Excellent written and verbal communication skills; comfortable presenting to executives and diverse audiences. * Strong analytical capabilities, with experience in financial modeling, ROI analysis, and tracking KPIs. * Ability to thrive in fast‑paced, high‑growth startup environments; proactive, adaptable, resilient. The Extras That Set You Apart * MS technical degree * PMP certification * Experience interacting and leading projects with various DoD stakeholders, not limited to the US Army, USSOCOM, DARPA * Experience managing projects related to rugged ground autonomy This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Positive, adaptable, and open to learning about changes in the personal transportation industry, as well as Tesla products and services. Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:. Tesla Motors is seeking an accomplished M

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The ServiceAssistantis a key contributor to the Tesla experience. Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:. Tesla is looking for a ServiceAssistantto work on one of the most progressive vehicles in the world.

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