Role overview
Job description
- Own and evolve the safety layer that runs independently of perception, planning, and learned policies, and extend it to new wheeled, legged, and humanoid platforms
- Build runtime monitors and collision avoidance backstops that check every commanded motion against the environment before it reaches the robot
- Enforce speed, zone, terrain, and proximity limits, and define the safe operating envelope for each platform and deployment
- Design fallback and minimal risk behaviors, from graceful slow down to safe stop, and the logic that decides when to trigger them
- Build watchdogs and health monitoring across sensors, compute, communication, and actuation, so the robot always knows when it can trust itself
- Lead hazard analysis and safety case development for new platforms and new deployments
- Verify the safety layer in simulation, hardware-in-the-loop (HIL) testing, and field trials, with coverage that grows with every deployment
- Work with planning, control, locomotion, and integration teams so the nominal stack plans and moves within the safety envelope
- Master’s degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field, or a Bachelor’s degree with substantial hands-on experience on safety related autonomous systems
- 2+ years of experience developing safety, monitoring, or fallback systems for robots or autonomous vehicles
- Strong grounding in classical planning and control, such as collision checking and trajectory validation
- Experience writing deterministic, real time, resource bounded C++ for systems where correctness matters more than features
- Solid Python skills for tooling, analysis, and test automation in Linux-based environments
- A verification mindset: you think in terms of assumptions, failure modes, coverage, and evidence
- Familiarity with safety standards for mobile robots and autonomous systems (e.g., ISO 13482, ISO 3691-4, ISO 26262)
- Familiarity with robotics middleware such as ROS/ROS 2, and with robot sensors such as LiDAR, depth cameras, and IMUs
- Functional safety experience in autonomous vehicles, industrial robots, or aerospace
- Experience with runtime assurance architectures that wrap a learned or complex controller
- Experience with formal or set based safety methods applied to real robots
- Experience defining operational design domains and monitoring when a system is outside them
- Experience with redundant sensing, safety rated hardware, or safety rated communication
- Experience taking a robotic product through safety assessment or certification
- Experience with legged or humanoid platforms, where balance and contact make safety envelopes harder to define
About this listing
- Source: FieldAI's official careers site (via Lever) · last confirmed on the source 27 Oct 2026
- Posted 5 Sept 2026
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What they are looking for
Skills & requirements
Department · Engineering
Hiring company
FieldAI
FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.
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