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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 We are building autonomous robotic systems powered by advanced AI that operate in complex, real-world environments. Our robots do not live in slides or simulations. They walk, perceive, decide, and act alongside humans on active job sites. The Narrative and Video Storytelling Lead shapes how this reality is captured, communicated, and understood by the world. This role sits at the intersection of AI autonomy, physical robotics, and human trust, translating technical capability into clear evidence, credibility, and conviction.This leader will define and scale our narrative across visual storytelling, content and creative, and brand communications, ensuring that everything we produce reflects truth from the field rather than hype.What You Will Get To Do • Visual Storytelling & Video, • Define the visual narrative for autonomous robots operating in real environments, • Lead storyboarding and end-to-end production of robot capability videos, field footage, and customer testimonials, • Establish standards for capturing autonomy, safety, reliability, and edge cases on customer sites, • Partner with product, engineering, and field teams to translate complex AI behavior into intuitive visual stories, • Build a scalable pipeline for lab, field, and customer-facing video assets, • Content & Creative, • Own the company’s written and visual storytelling outside of video, • Translate AI, autonomy, and robotics systems into clear, compelling narratives for technical and non-technical audiences, • Oversee creation of blogs, white papers, case studies, web content, diagrams, and sales collateral, • Ensure consistency and clarity across all creative outputs while preserving technical accuracy, • Define content frameworks that support product launches, GTM, and thought leadership, • Brand & Communications, • Define and evolve the company’s brand voice, tone, and identity, • Own external communications, including PR, announcements, and executive thought leadership, • Shape how the company participates in conversations around AI autonomy, robotics and safety, • Partner with leadership on keynote narratives, talks, and public-facing storytelling, • Build long-term trust with customers, partners, media, and the broader ecosystemWhat You Have, • Deep experience in storytelling for complex, technical products (robotics, AI, autonomy, deep tech, or hardware-software systems), • Strong intuition for visual proof and real-world storytelling, • Comfortable working alongside engineers, roboticists, and field teams, • Able to translate sophisticated systems into narratives that are accurate, compelling, and human, • High bar for craft, clarity, and authenticity, • Experience building or scaling narrative functions in high-growth environments, • Proven ability to translate sophisticated technical systems into clear, accurate, and compelling narratives for both technical and non-technical audiences, • Strong experience leading visual storytelling and video production, including storyboarding, field capture, and end-to-end production of technical or product capability videosThe Extras That Set You Apart, • Experience building a narrative or storytelling function from early stage through scale 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 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 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, • 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, • 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, • 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, • 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, • 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 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. This is a hands-on, creative leadership role where you’ll partner directly with the CEO to define our brand, build dynamic marketing strategies, and establish Field AI as the go-to name for robotics in heavy industry. You’ll drive demand generation, develop compelling content and materials, and execute campaigns that fuel B2B sales while laying the foundation for a world-class marketing team.What You'll Get To Do: • Partner with the CEO to craft and evolve Field AI’s brand identity, ensuring a strong, consistent, and differentiated market presence., • Build and lead marketing campaigns, sales enablement tools, and materials to support B2B revenue growth., • Drive demand generation initiatives that increase market awareness and pipeline for the sales team., • Own Field AI’s visual branding and creative direction across digital, print, and events., • Plan and execute Field AI’s presence at industry conferences, trade shows, and thought leadership events., • Position Field AI as the partner of choice for executives, boards, and decision-makers across target industries., • Create and manage content strategies that elevate Field AI’s thought leadership in AI, robotics, and industrial automation., • Recruit, mentor, and grow a high-performing marketing team over time.What You Have:, • Ability to be onsite; hybrid may be an option (3 days onsite minimum(, • 8+ years of experience in marketing, with at least 3 years in a leadership role., • Proven track record in B2B marketing, preferably in robotics, AI, industrial technology, or enterprise software., • Strong background in brand building, visual identity, and creative campaigns., • Demonstrated success in demand generation, pipeline growth, and sales enablement., • Experience working directly with sales teams to craft messaging and accelerate deals., • Strong creative instincts and ability to develop bold, differentiated marketing strategies., • Comfortable operating in a hands-on capacity while scaling and leading a team., • Excellent communication and storytelling skills, with the ability to inspire both internal and external audiences. 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.

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. Job Summary: As a Senior System Administrator, you will be responsible for maintaining a robust, secure, and high-performance IT infrastructure that powers our R&D, simulation, and deployment environments. You will support a hybrid workforce of developers, roboticists, ML engineers, and hardware teams working with large datasets, compute-heavy workloads, and real-time systems.What You'll Get To Do • Administer and support workstations, servers, network devices, and IT systems in a Linux-heavy environment., • Manage user accounts, access controls, and permissions across local and hybrid environments., • Maintain on-prem and integrated storage systems, version control infrastructure (e.g., Git, GitLab), and build environments., • Collaborate with engineering teams to support dev environments (e.g., Docker, ROS, CI/CD tools), • Monitor and tune system and network performance, ensuring high availability and reliability., • Support endpoint protection, system hardening, vulnerability scanning, and patch automation., • Manage remote access using modern zero trust and secure web gateway solutions (e.g., Cloudflare), • Assist with user onboarding/offboarding and handle IT service tickets., • Ensure backup routines, disaster recovery readiness, and alignment with IT security policies., • Support lab environments and help set up specialized or embedded hardware.What You Have, • Bachelor’s degree in IT, Computer Science, or equivalent hands-on experience, • 5+ years of technical experience in Linux system administration (Ubuntu preferred), • Strong scripting and automation skills (Bash, Python, Ansible), • Solid grasp of networking (TCP/IP, DNS, DHCP, VLANs) and LAN/WAN configuration, • Familiar with development toolchains: Git, Docker, Jupyter, VSCode, and continuous integration workflows, • Strong communication, documentation, and troubleshooting skills., • Mentoring and coaching junior engineers, • Must be a U.S. Citizen (Federal Projects).What Will Set You Apart, • Familiarity with security and IT operations platforms for endpoint detection and response, device management, threat monitoring, application control, and firewall security, • Experience with network segmentation and switch-level VLAN management, • Experience with infrastructure-as-code, Kubernetes, or high-performance compute clusters 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.

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, • 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, low-ego, 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.

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 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 Role 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. 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 Field AIField 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 TeamThe 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. UGV Systems Engineer RoleThe UGV integration position will focus on integrating full stack autonomy hardware (sensors, computers, electromechanical systems) with wheeled Unmanned Ground Vehicles. This role will coordinate a team of electrical, mechanical, and computing engineers while also working closely with autonomy teams. What You Will Get To Do • Collaboratively direct the architecture and implementation of the UGV sensing and computing hardware to enable autonomy., • Direct sensor and compute payload integration: LiDAR, depth/stereo cameras, IMU/GNSS, embedded compute platforms (NVIDIA/Intel), time synchronization, ROS/ROS2 middleware., • Direct electrical design and platform integration: vehicle power distribution, onboard DC/AC systems, CAN/Ethernet networks, wiring harnesses, E-stop/fault handling, diagnostics., • Direct mechanical integration activities: platform mounting on a wheeled UGV, ruggedization including vibration/thermal/ingress protection, ingress/egress for maintainability., • Define and execute field-test readiness: develop test plans (thermal, vibration, EMI/EMC, power, latency/data integrity), lead debugging workflows and field root-cause analysis., • Collaborate with autonomy software: drive hardware/sensor requirements aligned with autonomy algorithms, lead trade-offs across compute, power, sensing and mechanical constraints., • Manage vendors and procurement: select sensors, compute modules, harnesses, mechanical components; establish QA checks; drive production readiness and scaling., • Mentor 2-3 engineers, run design reviews, manage project timeline, ensure hardware documentation (I/O maps, sensor maps, launch files, configuration management)., • Work within a security-conscious environment; U.S. citizenship and experience with cleared programs preferred.What You Should Have, • Education & Experience, • B.S., M.S., or Ph.D. in Mechanical Engineering, Electrical Engineering, Robotics, Computer Engineering or related field., • Several years of experience (5+ years) working with field robotics platforms (UGVs, wheeled/off-road vehicles, quadrupeds, etc.). Ideally with experience across sensors, compute, mechanical and electrical systems., • Embedded compute experience: NVIDIA Jetson, Intel NUC/ARM SBCs, Linux, ROS/ROS2, sensor driver integration, coding (C++, python).Sensor integration: LiDAR, depth/stereo cameras, IMU/GNSS, supporting buses (USB, Ethernet, CAN, GMSL, SPI/I²C).Sensor synchronization: Strong familiarity with multi-sensor time synchronization (PTP/NTP/PPS), spatial calibration (TF trees, URDF), and autonomy impact., • Electrical systems: power architecture, onboard vehicle power, harness design, safety interlocks, fault diagnostics, CAN/Ethernet., • Mechanical/packaging: mounting sensors/compute on mobile platforms, vibration/thermal/ingress isolation, ruggedization for outdoor/field use, CAD design, thermal / structural analysis., • Systems-level design thinking: ability to trade between compute/thermal/power/sensor/performance constraints., • Field deployment experience: real-world testing in harsh environments (vibration, dust, extreme temperatures, EMI), root-cause analysis, QA and production readiness., • Strong cross-discipline collaboration and communication skills. Ability to work with teams across autonomy software, hardware, and field operations., • U.S. citizenship strongly preferred. Experience with or eligibility for security clearance (Secret, TS/SCI) highly desirable.What Will Set You Apart, • Experience taking a robotic/mobile platform from prototype to field deployment., • Previous work on UGVs (e.g., Warthog, Husky, Jackal) or heavy-duty wheeled/off-road robotics., • Active or past government/defense security clearance.

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 You’ll build and own the simulation stack that powers development and testing for legged robots, humanoids, and car‑like platforms. The work spans software‑in‑the‑loop (SIL) and hardware‑in‑the‑loop (HIL) setups, GPU‑accelerated physics and learning loops, synthetic data generation, and rigorous Monte Carlo evaluation—with clear, visual reporting. You’ll also scale sim farms and data pipelines in AWS and work hands‑on in Gazebo/Ignition and NVIDIA Isaac Sim.What You’ll Get To Do • Own SIL/HIL simulation infrastructure, • Design, implement, and maintain SIL/HIL rigs, including real‑time loops, I/O, and fault‑injection., • Integrate simulators into CI/CD for repeatable, automated regression testing., • Develop sensor/actuator interfaces and bring‑up procedures for lab and field use., • Model robot and vehicle dynamics, • Build and validate dynamics models for legged systems, humanoids, and car‑like platforms., • Implement contact/friction models, parameter identification, and sensor/terrain effects., • Create configurable scenarios, environments, and disturbances for coverage testing., • Accelerate workloads on GPU, • Parallelize simulation, perception, and policy evaluation using CUDA and PyTorch., • Profile and optimize kernels, memory movement, and mixed CPU/GPU pipelines., • Scale Monte Carlo campaigns across local GPUs and AWS (e.g., EC2/EKS/Batch) for fast iteration., • Generate data and close the ML loop, • Produce synthetic datasets with domain randomization and high‑fidelity annotations., • Connect simulation output to training pipelines; track dataset versions and metrics., • Manage datasets in AWS S3 and wire up distributed processing for large data volumes., • Plan experiments and report results, • Design statistically sound Monte Carlo studies and acceptance tests., • Visualize performance with plotting libraries (e.g., Bokeh/Matplotlib); publish dashboards., • Summarize findings in clear engineering reports and reviews., • Integrate with robotics software, • Build ROS/ROS 2 nodes, messages, and tooling; simulate sensors and networks., • Develop and test in Gazebo/Ignition and NVIDIA Isaac Sim (plugins, sensor models, physics configs)., • Create reproducible dev environments (Docker, CMake) and enforce code health (linting, tests).What You Have, • 3+ years building robotics simulation or controls software (or equivalent research/industry experience)., • Strong coding in Python and C/C++, plus solid Linux, Git, CI/CD, and containerization practices., • Hands‑on experience building SIL/HIL setups, including real‑time constraints and hardware I/O., • Proficiency with ROS and ROS 2 development (nodes, topics, services, bags)., • Hands‑on with Gazebo and NVIDIA Isaac Sim (sensor plugins, physics configuration)., • Solid background in rigid‑body kinematics/dynamics, contact/friction, and basic state estimation., • Proven GPU experience: CUDA programming and PyTorch for accelerated simulation/ML loops., • AWS experience for simulation and data pipelines (e.g., EC2 GPU instances, EKS/Batch, S3, IAM)., • Ability to design and run Monte Carlo simulations and report results with Bokeh/Matplotlib., • Synthetic data generation for ML training (domain randomization, labeling, dataset versioning).The Extras That Set You Apart, • Deep expertise with simulator internals and advanced features (Isaac Sim/Omniverse USD, Gazebo/Ignition plugins), plus MuJoCo or Chrono., • Prior work on legged/humanoid control or car‑like dynamics (trajectory planning, MPC, tire/ground models)., • Sensor simulation depth (cameras, LiDAR, IMU) with realistic noise and distortion models., • Distributed compute for large‑scale simulation (multi‑GPU, Ray/Kubernetes) and AWS infra‑as‑code (Terraform/CloudFormation)., • Safety‑critical mindset and familiarity with robotics/automotive standards, • Publications, patents, or significant open‑source contributions in simulation, control, or robotics tooling. 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.

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. 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 RL-Based Locomotion Control 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., • Optimize reward functions, policy architectures, and sim-to-real transfer methods., • Develop and Test Locomotion Behaviors, • Create agile and robust policies for legged or humanoid robots in simulated and real-world conditions., • Solve challenges in balance, contact-rich dynamics, and high-DOF coordination., • Drive iterative testing across terrain variability and unstructured environments., • Own Simulation and Evaluation Environments, • Build scalable training environments using Isaac Sim and Isaac Gym., • Automate evaluation across domain-randomized scenarios and domain adaptation protocols., • Maintain high-performance simulation infrastructure for rapid prototyping and validation., • Collaborate Across Perception, Planning, and Hardware Teams, • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution., • Incorporate real-world telemetry to refine models and improve generalization., • Lead deployment workflows from experiment to field robot testing.What You Have, • Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD a strong plus)., • Deep expertise in reinforcement learning, especially for continuous control tasks., • 2+ years of experience developing and deploying locomotion policies for robotic systems., • Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet., • Strong understanding of contact dynamics, control theory, and kinematics., • Experience with legged and/or humanoid robots (quadrupeds, bipedal systems, or exoskeletons)., • Solid Python and/or C++ development skills in Linux-based environments., • Familiarity with machine learning frameworks (PyTorch, TensorFlow).The Extras That Set You Apart, • 3+ years of experience in an industry or startup robotics setting., • Experience with real-world deployment of learned locomotion controllers., • Publications or open-source contributions in locomotion, RL, or control., • Familiarity with ROS or custom middleware for real-time control., • Background in manipulation or whole-body coordination., • Experience of deploying neural network models on robotic platforms., • 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.

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.What You’ll Get To Do • Lead Generation & Prospecting, • Conduct thorough research to identify and qualify new leads aligned with FieldAI’s ideal customer profile., • Build and maintain a steady, high-quality outbound pipeline across priority verticals., • Use data, market signals, and experimentation to refine targeting and improve conversion., • Conduct thorough research to identify and qualify new leads aligned with FieldAI’s ideal customer profile., • Build and maintain a steady, high-quality outbound pipeline across priority verticals., • Use data, market signals, and experimentation to refine targeting and improve conversion., • Multi-Channel Outbound, • Execute high-volume outbound sequences via email, LinkedIn/social, events, and cold calling—maintaining a high bar for personalization and quality., • Craft compelling outreach that ties FieldAI’s autonomy platform to the prospect’s business outcomes (safety, productivity, cost, visibility, risk reduction)., • Test and iterate on messaging and channels to continuously raise response and meeting rates., • First-Call Discovery & Qualification, • Run consultative discovery to uncover use cases, deployment context, stakeholders, and buying intent., • Qualify leads through effective questioning and light data analysis to ensure strong funnel fit., • Address first-line objections and clearly communicate FieldAI’s value proposition., • Sales Enablement & Handoff, • Deliver concise, compelling first-touch presentations that highlight FieldAI’s differentiation., • Set crisp, well-qualified appointments for Account Executives and ensure smooth handover with full context., • Coordinate early onboarding alignment when needed (end users, technical stakeholders, project scope)., • CRM Excellence & Team Collaboration, • Maintain accurate, up-to-date CRM records (Salesforce), including notes, qualification details, and next steps, • Participate in sales meetings and contribute insights to lead-gen strategy, ICP refinement, and competitive positioning., • Stay current on FieldAI products, market trends, and competitor activity in autonomy/robotics.What You Have:, • 1–3 years of B2B sales, BDR/SDR, marketing, or customer-facing experience (software, robotics, or automation a plus). Or current experience as PE or PM within the Construction Industry, • Proven track record prospecting for business and generating pipeline., • Ability to uncover and understand customer needs through structured discovery., • Excellent written and verbal communication skills., • Goal- and results-oriented mindset; optimistic, proactive, and adaptable in fast-moving environments., • Highly organized with strong attention to detail and the ability to manage multiple priorities., • Analytically driven; comfortable using metrics to improve performance., • Collaborative team player and self-starter.The Extras That Set You Apart:, • Experience selling into construction, industrial, energy, logistics, or robotics ecosystems.PE or PM construction experience, • Familiarity with autonomy, robotics, AI/ML, perception, or field-deployed technology platforms., • Strong working knowledge of Salesforce (or a similar CRM)., • Prior experience in a high-growth startup / scale-up environment. 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.

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 Staff or Principal Product Manager to operate across product verticals and own frontier product areas that do not yet fit cleanly into a single domain. This role is designed for a senior individual contributor who can create product clarity in pre-category spaces and define durable product foundations that vertical teams can later build on.This is not a people management role. Impact comes from judgment, authority, and the ability to define product truth where none exists yet.What You Will Do: • Own product definition for cross-vertical and frontier product areas, • Identify emerging product opportunities and define their initial scope and boundaries, • Create structure in ambiguous problem spaces before domain specialization occurs, • Make high-leverage product decisions that shape future product lines, • Partner closely with engineering, AI, robotics, and platform teams on feasibility, • Serve as the escalation point for complex scope and product integrity decisions, • Prevent premature specialization and customer-driven divergenceWhat You Bring:, • 10+ years of product management experience on complex or frontier products, • Demonstrated success operating as a senior IC with broad scope and authority, • Strong product sense and technical calibration across domains, • Comfort making irreversible or high-impact decisions with limited data, • Ability to influence without relying on formal hierarchyWhat Will Set You Apart:, • Experience spanning multiple domains such as construction, security, inspection, or robotics, • Background in deep tech, platforms, or zero-to-one product development 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. As our HR Manager/Director, you’ll have a significant role on our people operation teams — responsible for optimizing employee experiences, driving HR compliance, and supporting our dynamic team. You’ll build and own processes that shape onboarding, benefits, employee relations, compliance, and payroll. This is a hands-on opportunity to make a lasting impact at a fast-paced, mission-driven startup. What You'll Get To Do • Onboarding:, • Help design and own a structured onboarding program to create a memorable, effective, and positive onboarding experience to ensure a new hire's success., • Manage new hire data entry, I-9 verifications, and onboarding ., • Maintain and update HRIS systems throughout the employee lifecycle., • Coordinate orientation, paperwork, and systems access for new hires., • Compliance:, • Ensure legal postings and notices are current and distributed to all employees., • Support development, documentation, and implementation of human resources policies and procedures., • Maintain up-to-date knowledge and enforcement of state and federal labor laws., • Support immigration and visa processes., • Benefits:, • Maintain accurate and compliant records of employee benefits and training., • Support the administration of benefits programs including 401(k), health insurance, workers’ compensation, and COBRA., • Support compensation and rewards programs, including bonuses and equity processing., • Employee Records & Retention:, • Audit employee files and manage electronic recordkeeping., • Create and maintain folders for employees, interns, and contractors., • Collaborate with leadership to support retention strategies., • Handle offboarding tasks including exit interviews and system deactivation., • Payroll:, • Assist with accurate domestic and global payroll processing for exempt and nonexempt employees., • Experience in a fast-paced startup environment that is rapidly growing., • Bachelor’s degree in HR, business, or a related field., • 10-15 years of HR experience with a focus on employee relations, compliance, and engagement., • Experience conducting impartial and effective workplace investigations., • Deep understanding of federal and California labor laws., • Proficiency with Google Workspace and HRIS platforms, including PEOs (e.g., TriNet, ADP)., • Discretion and ability to handle confidential information., • Excellent communication, organizational, and problem-solving skills., • Strong project management and hands-on execution abilities., • Collaborative mindset and ability to work with a diverse, global team.What Will Set You Apart, • Event planning experience (for team-building, culture events, onboarding, etc.), • Experience supporting equity plans or working closely with finance/legal on stock options., • Familiarity and experience with DARPA and ITAR. 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.

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.

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.

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 Staff Cybersecurity Architect who lives and breathes security at every layer—from silicon to cloud. This role requires a visionary technologist with deep, hands-on experience in securing (and breaking) hardware and software systems, and someone who is deeply embedded in both professional and grassroots cybersecurity communities. You will define architectural strategy, guide implementation, and lead cross-functional teams to build resilient, trustworthy systems from first principles. What You Will Get To Do • Define and lead enterprise-wide cybersecurity architecture across hardware, firmware, embedded systems, networks, robotics deployments, and cloud infrastructure., • Threat model complex systems end-to-end, designing security controls and patterns that protect against sophisticated adversaries, including nation-state–level actors., • Drive secure-by-design initiatives, ensuring security is embedded early in product and system lifecycles rather than bolted on later., • Establish architectural governance, mentoring engineering teams and setting standards for modern security practices across the organization., • Design and enforce secure build and release pipelines, including artifact signing, provenance, dependency risk management, and supply chain defenses., • Own final security architecture decisions, including risk acceptance recommendations, and hold authority to block launches when material risks are not mitigated., • Serve as the senior technical authority during major security incidents, guiding investigation, response, and long-term remediation., • Conduct and guide deep technical security reviews of hardware designs, low-level software, distributed systems, and customer-facing deployments., • Lead offensive and defensive security research, including reverse engineering, vulnerability discovery, exploit development, and mitigation engineering., • Prototype and validate security assumptions in real-world conditions, using adversarial emulation, proof-of-concept work, and hands-on testing., • Partner cross-functionally with engineering, IT, product, and operations to align security architecture with business needs, customer requirements, and technical realities., • Represent the organization internally and externally as a senior security authority, influencing standards, processes, and long-term direction., • Engage with the broader security community, monitoring emerging threats and translating intelligence into proactive measures that strengthen systems over time.What You Have, • 10+ years of experience in cybersecurity architecture, offensive/defensive security engineering, or equivalent deep technical domains., • A proven record securing complex, multi-layered systems, spanning hardware, firmware, OS, networks, and applications., • Demonstrated experience in penetration testing, exploit development, reverse engineering, and vulnerability research., • Deep understanding of cryptography, authentication/authorization systems, and secure protocol design., • Hands-on experience with secure firmware development, trusted execution environments, secure boot, embedded security, HSMs, and trusted computing technologies., • Experience designing protections against software supply chain attacks, including secure build pipelines and dependency risk management., • Strong ability to reason holistically across large systems, identifying risk tradeoffs and mitigating vulnerabilities at scale., • A track record of non-linear problem solving, thriving in ambiguous, high-stakes, multi-layered environments., • Strong communication skills, with the ability to explain highly technical topics to audiences ranging from engineers to executives to external partners., • A deeply curious mindset, relentless follow-through, and a passion for understanding systems all the way down to first principles.What Will Set You Apart, • A recognized presence in the security community through CTFs, open-source contributions, conference talks, published research, or academic collaborations., • Experience building security teams, scaling security programs, or leading architectural transformation across organizations., • Familiarity with security compliance frameworks (FedRAMP, NIST, ISO 27001) while maintaining a focus on practical security outcomes over checkbox compliance., • Advanced degree in Computer Science, Electrical Engineering, Computer Engineering, Cybersecurity, or equivalent real-world expertise. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a dedicated and proactive Senior Customer Success Manager (Sr. CSM) to serve as the primary point of contact between Field AI and our enterprise clients. In this high-impact role, you’ll foster strong, long-term partnerships and ensure that customers achieve measurable outcomes through our cutting-edge robotic solutions.As a Sr. CSM, you will be responsible for managing a portfolio of strategic accounts, deeply understanding client needs, and coordinating with internal teams to deliver timely and effective solutions. You'll handle client inquiries, resolve issues efficiently, and work to ensure customer satisfaction at every touchpoint. Your work will directly influence customer retention, expansion, and overall success.Key to this role is your ability to identify opportunities for growth and upselling, while also optimizing user adoption and proactively protecting against churn. You’ll collaborate closely with Engineering, Product, and Sales to advocate for customer priorities and continuously improve the customer experience.What You'll Get To Do • Relationship Building: Develop and maintain strong and long-lasting relationships with clients, • Client Needs Management: Understand client requirements, anticipate their needs and ensure their satisfaction, • Internal Coordination: Collaborate with various internal teams (Sales, Marketing, Product development, Technology development, etc.) to deliver solutions and meet client expectations, • Account Growth: Identify opportunities for account expansion, upsell and cross sell, • Communication and Reporting: Effectively communicate with clients, provide regular updates and prepare detailed reports on account performance, • Issue resolution: Address client concerns and resolve issues promptly and professionally What You Have, • Bachelor’s degree in Business, Engineering or related field, • 5+ years of experience in customer success, account management or similar customer facing roles, • Excellent communication skills, including strong verbal and written skills as well as presentation skills, • Sales and negotiation skills, ability to identify sales opportunities and negotiate effectively, • Customer service skills provide excellent customer support and build rapport with clients, • Problem solving skills, identify and resolve client issues efficiently and effectively, • Project management skills, coordinate tasks, manage timelines and ensure timely delivery of solutions, • Analytical skills, analyze data, identify trends and make informed decisions.Technical and Industry Knowledge:, • Must be familiar with daily field activities in Oil and gas industry, • Basic understanding of Monitoring and automation systems, SCADA, DCS, RTUs 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.

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.

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 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 dedicated and proactive Senior Customer Success Manager (Sr. CSM) to serve as the primary point of contact between Field AI and our enterprise clients. In this high-impact role, you’ll foster strong, long-term partnerships and ensure that customers achieve measurable outcomes through our cutting-edge robotic solutions.As a Sr. CSM, you will be responsible for managing a portfolio of strategic accounts, deeply understanding client needs, and coordinating with internal teams to deliver timely and effective solutions. You'll handle client inquiries, resolve issues efficiently, and work to ensure customer satisfaction at every touchpoint. Your work will directly influence customer retention, expansion, and overall success.Key to this role is your ability to identify opportunities for growth and upselling, while also optimizing user adoption and proactively protecting against churn. You’ll collaborate closely with Engineering, Product, and Sales to advocate for customer priorities and continuously improve the customer experience.What You'll Get To Do • Relationship Building: Develop and maintain strong and long-lasting relationships with clients, • Client Needs Management: Understand client requirements, anticipate their needs and ensure their satisfaction, • Internal Coordination: Collaborate with various internal teams (Sales, Marketing, Product development, Technology development, etc.) to deliver solutions and meet client expectations, • Account Growth: Identify opportunities for account expansion, upsell and cross sell, • Communication and Reporting: Effectively communicate with clients, provide regular updates and prepare detailed reports on account performance, • Issue resolution: Address client concerns and resolve issues promptly and professionally What You Have, • Bachelor’s degree in Business, Engineering or related field, • 5+ years of experience in customer success, account management or similar customer facing roles, • Excellent communication skills, including strong verbal and written skills as well as presentation skills, • Sales and negotiation skills, ability to identify sales opportunities and negotiate effectively, • Customer service skills provide excellent customer support and build rapport with clients, • Problem solving skills, identify and resolve client issues efficiently and effectively, • Project management skills, coordinate tasks, manage timelines and ensure timely delivery of solutions, • Analytical skills, analyze data, identify trends and make informed decisions.Technical and Industry Knowledge:, • Must have an understanding of Mining Operations: Knowledge of surface and underground mining processes, equipment and value chains (Exploration, Drilling, Hauling), • Familiarity with Mining Equipment and System: Understanding of how customers use heavy machinery, sensors, automation and telemetry 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.

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 dedicated and proactive Senior Customer Success Manager (Sr. CSM) to serve as the primary point of contact between Field AI and our enterprise clients. In this high-impact role, you’ll foster strong, long-term partnerships and ensure that customers achieve measurable outcomes through our cutting-edge robotic solutions.As a Sr. CSM, you will be responsible for managing a portfolio of strategic accounts, deeply understanding client needs, and coordinating with internal teams to deliver timely and effective solutions. You'll handle client inquiries, resolve issues efficiently, and work to ensure customer satisfaction at every touchpoint. Your work will directly influence customer retention, expansion, and overall success.Key to this role is your ability to identify opportunities for growth and upselling, while also optimizing user adoption and proactively protecting against churn. You’ll collaborate closely with Engineering, Product, and Sales to advocate for customer priorities and continuously improve the customer experience.What You'll Get To Do • Relationship Building: Develop and maintain strong and long-lasting relationships with clients, • Client Needs Management: Understand client requirements, anticipate their needs and ensure their satisfaction, • Internal Coordination: Collaborate with various internal teams (Sales, Marketing, Product development, Technology development, etc.) to deliver solutions and meet client expectations, • Account Growth: Identify opportunities for account expansion, upsell and cross sell, • Communication and Reporting: Effectively communicate with clients, provide regular updates and prepare detailed reports on account performance, • Issue resolution: Address client concerns and resolve issues promptly and professionally What You Have, • Bachelor’s degree in Business, Engineering or related field, • 5+ years of experience in customer success, account management or similar customer facing roles, • Excellent communication skills, including strong verbal and written skills as well as presentation skills, • Sales and negotiation skills, ability to identify sales opportunities and negotiate effectively, • Customer service skills provide excellent customer support and build rapport with clients, • Problem solving skills, identify and resolve client issues efficiently and effectively, • Project management skills, coordinate tasks, manage timelines and ensure timely delivery of solutions, • Analytical skills, analyze data, identify trends and make informed decisions.Technical and Industry Knowledge:, • Mus be familiar with security patrol operations, scheduled rounds, incident reporting, access control and perimeter checks 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.

Job DescriptionOverviewField AI is seeking a highly experienced and execution-focused Director of Program Management to lead the end-to-end delivery of complex, cross-functional programs across our AI, robotics, and autonomy R&D organization. This role is critical to translating cutting-edge research into scalable, deployable products and platforms, ensuring alignment with company strategy, customer commitments, and technical excellence. The Head of PMO will build and lead the Project Management Office from the ground up, establishing disciplined yet agile execution across research, product, and engineering teams. This leader will partner closely with R&D, Product, Engineering, and Business leaders to drive predictable delivery in a fast-moving, innovation-driven environment. PurposeAs Director of Program Management, you will lead the Project Management Office (PMO), define and scale Field AI’s program and portfolio management capabilities. You will introduce structure, visibility, and accountability across high-impact initiatives while preserving the speed and creativity required in advanced AI and robotics development. You will act as a strategic execution partner to technical and business leadership, ensuring that priorities are clear, risks are proactively managed, and critical programs deliver measurable outcomes. This role reports directly to the executive leadership.What You’ll Get To Do: • Build and lead a centralized PMO overseeing portfolio management and program execution across Field AI’s R&D and product roadmap., • Drive portfolio prioritization and execution planning in close partnership with R&D, Product, Engineering, and Business leadership., • Lead cross-functional programs spanning research, applied AI, robotics, systems engineering, software, hardware, and deployment., • Ensure programs are delivered on time, within scope, and within agreed resource constraints, while managing uncertainty inherent in advanced R&D., • Establish and continuously improve project management frameworks, governance models, and execution rhythms suited for deep-tech and AI development., • Introduce standardized tools, metrics, and reporting to provide leadership with clear visibility into progress, risks, dependencies, and trade-offs., • Act as a strategic partner to Technical Leads and Engineering Managers to identify, surface, and mitigate technical, operational, and execution risks., • Enable strong cross-site and cross-discipline collaboration, aligning teams working across research, productization, and customer delivery., • Own resource planning and capacity management across the portfolio, balancing near-term delivery with long-term innovation., • Communicate program status, escalations, and mitigation strategies clearly and credibly to executive stakeholders., • Hire, mentor, and inspire a high-performing team of program and project managers, fostering a culture of accountability, rigor, and learning., • Champion a customer- and mission-driven mindset, ensuring Field AI solutions are delivered with real-world impact in mind.What You Have:, • Bachelor’s degree in engineering, computer science, robotics, AI, or a related technical field., • 15+ years of progressive experience in program / portfolio management within technology-driven, R&D-heavy organizations., • Demonstrated success leading large, complex, cross-functional programs involving software, hardware, and advanced R&D., • Strong understanding of product development lifecycles in AI, robotics, autonomy, or similar deep-tech domains., • Proven ability to influence senior technical and business leaders without direct authority., • Experience building or scaling PMO capabilities in fast-growing or ambiguous environments., • Experience managing globally distributed teams.The Extras That Set You Apart:, • Advanced degree (MBA, MS, or PhD) preferred., • PMP, Agile, or equivalent program management certification preferred (pragmatism over bureaucracy expected)., • Experience operating in a top tier tech company.

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. 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. Technical Project Manager Role:As a Technical Project Manager on the Hardware Team at Field AI, you will coordinate end-to-end hardware execution, from early stage development through production and scaling. You’ll work directly with engineers across electrical, mechanical, sensing, and compute disciplines to keep designs aligned and moving forward. Your responsibilities include defining program schedules, translating engineering requirements into actionable plans, and organizing design reviews (PDR/CDR) to ensure teams stay on track. In addition to development you will work with the operations team coordinating relationships with vendors and contract manufacturers as we scale production. You will also work with external labs and partners to support certification efforts (EMI/EMC, FCC, CE) and environmental testing such as IP ratings. What You Will Get To Do • Program & Portfolio Leadership: Build hardware team roadmaps across development and operations. Identify critical paths, coordinate dependencies and drive weekly progress., • Manufacturing & Scaling: Develop and maintain a resilient supply chain by tracking long-lead components, evaluating vendor options, and coordinating with suppliers. Assess and manage manufacturing paths including contract manufacturers, local technicians, and internal builds., • Testing & Validation Management: Define validation plans (thermal, ingress, reliability, functional), allocate prototype units, manage test fixtures and setups, and verify test results. Ensure hardware meets the requirements for reliable field deployment., • Compliance & Certification: Work closely with EE and ME teams to ensure designs are ready for certification. Coordinate external lab logistics for EMI/EMC, IP and other critical certifications, • Documentation Management: Maintain current design files, test results, build procedures, and release documentation. Ensure engineering changes are version-controlled and clearly communicated across teams and vendors., • Cross-Functional Integration: Facilitate alignment between hardware and autonomy/software teams, operations, platform integrators and field deployment groups. Represent hardware in company-wide planning.What You Have, • 5-10 years of experience in hardware program management in a cross-discipline environment (EE/ME/FW/Test). Experience running hardware through validation cycles. Strong familiarity with certification processes (EMI/EMC, FCC, IP ratings)., • Technical ability to engage with electrical, mechanical, sensing and compute teams and understand system-level trade-offs., • Strong communication and leadership skills, comfortable working with engineers, operations teams, external labs and company leadership., • BS in EE, ME, CE, Robotics or related; MS a plus but not required.What Will Set You Apart, • Track record of managing multiple concurrent hardware programs, vendor relationships, schedule risk and cross-team dependencies., • Experience in robotics, autonomous systems, or sensing/compute payloads.

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.

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.

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.

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, Infrastructure to design, build, and operate the core backend systems that power FieldAI’s globally deployed robotics platform. In this role, you’ll focus on high-performance backend services, real-time data pipelines, and system reliability, enabling seamless communication between robots, sensors, and customer-facing applications operating in complex, real-world environments. This is a hands-on role for engineers who enjoy working close to the metal, solving hard distributed systems problems, and supporting software that runs in the field, not just the cloud.What You’ll Do • Design, build, and maintain backend services supporting real-time robotics systems, • Develop scalable APIs for internal and external consumers, • Design and operate data stores for robotics telemetry, logs, and analyticsDefine clear schema contracts and build SDKs to simplify data access for internal and partner teams, • Support event-driven and message-based communication between robots, backend services, and UIs, • Work closely with robotics engineers to ensure backend systems meet operational, reliability, and performance requirementsImprove system observability, performance, and resilience in production environmentsWhat You Bring to the Table, • Typically 5–10+ years of experience building and operating backend or infrastructure systems, • Strong backend programming experience with TypeScript (Node.js) and/or PythonSolid understanding of API and SDK design best practices, • Experience designing and operating databases such as Postgres, MySQL, MongoDB, or similar systemsExperience building production systems with containerization (Docker) and CI/CD pipelinesStrong system design skills, particularly for high-performance or real-time workloads, • Ability to collaborate effectively across robotics, product, and frontend teamsWhat Will Set You Apart, • Experience working with robotics frameworks such as ROS, • Background supporting sensor data ingestion, telemetry pipelines, or hardware-adjacent 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. We are seeking a skilled and motivated Software Engineer - Developer Tools to join our engineering team. In this role, you will be responsible for designing, building, and maintaining development setups and tools. You will work closely with developers, DevOps, and infrastructure teams to ensure the efficiency and quality of our software development. This is an exciting opportunity to join a fast-growing company and support the success of enterprise clients in a dynamic environment.What You Will Get To Do • Develop and maintain containerized development setups., • Develop and maintain automated code quality and code style checks., • Develop and maintain internal CLI tools., • Maintain monorepo build system, file structure, and documentation., • Work with a diverse group of developers from various disciplines, such as robotics, web, data pipeline, and machine learning, to support their development needs.What You Have, • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience)., • 3-7 years of experience in software engineering roles., • Strong programming/scripting skills in languages such as Python or similar., • Hands on experience with Docker or other containerization technologies., • Solid understanding of Linux operating system., • Excellent problem-solving skills and the ability to work collaboratively in a team environment.What Will Set You Apart, • Experience with Build systems such as Bazel and Nx., • Familiarity with robotics systems to support robotic applications (e.g., ROS, real-time systems, sensor integration). 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.

A leading electric vehicle manufacturer in Lake Forest is seeking a Service Advisor to enhance customer service and support innovative automotive technologies.The role requires strong communication skills, problem-solving abilities, and a commitment to delivering exceptional customer experiences.Ide

As an Intern, you will also learn about electric vehicles and Tesla's innovative technologies, in accelerating the world's transition to sustainable energy. Perform entry-level work in the inspection, repair, and service of Tesla electric vehicles. As a full-time Tesla Intern, you will be eligible f

As an Intern, you will also learn about electric vehicles and Tesla's innovative technologies, in accelerating the world's transition to sustainable energy. Perform entry-level work in the inspection, repair, and service of Tesla electric vehicles. As a full-time Tesla Intern, you will be eligible f

As an Intern, you will also learn about electric vehicles and Tesla's innovative technologies, in accelerating the world's transition to sustainable energy. Perform entry-level work in the inspection, repair, and service of Tesla electric vehicles. As a full-time Tesla Intern, you will be eligible f

Perform entry-level work in the inspection, repair, and service of Tesla electric vehicles. As a full-time Tesla Intern, you will be eligible for:. As an Intern, you will also learn about electric vehicles and Tesla's innovative technologies, in accelerating the world's transition to sustainable ene

As an Intern, you will also learn about electric vehicles and Tesla's innovative technologies, in accelerating the world's transition to sustainable energy. Perform entry-level work in the inspection, repair, and service of Tesla electric vehicles. As a full-time Tesla Intern, you will be eligible f