Field AI
Robotics Autonomy Engineer, Safety
$100K–$230K
Irvine, CA · On-site · Full-time · Posted Sep 5, 2026
- Experience
- 2+ years; Bachelor’s degree alternative requires substantial hands-on experience on safety-related autonomous systems.
- Education
- 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.
About the job
Develop and validate an independent robotics safety layer that constrains motion, monitors system health, and triggers safe fallback behaviors across deployed robot platforms.
What you'll do
- Build runtime monitors, collision-avoidance backstops, operating limits, and fallback behaviors.
- Lead hazard analysis and safety case development; verify safety through simulation, HIL testing, and field trials.
- Coordinate with planning, control, locomotion, and integration teams to keep robot behavior within the safety envelope.
What they ask for
- Master’s degree or higher in a relevant field, or a Bachelor’s degree with substantial hands-on experience on safety-related autonomous systems.
- 2+ years developing safety, monitoring, or fallback systems for robots or autonomous vehicles.
- Strong grounding in classical planning and control; experience writing deterministic, real-time C++ and solid Python skills.
- Familiarity with mobile-robot and autonomous-system safety standards, robotics middleware, and robot sensors.
Nice to have
- Functional safety experience in autonomous vehicles, industrial robots, or aerospace.
- Experience with runtime assurance, formal or set-based safety methods, operational design domains, safety assessment, or legged/humanoid robots.
Pay
USD 100,000–230,000 (per-year-salary), base salary
Tools
C++, Python, Linux, ISO 13482, ISO 3691-4, ISO 26262, ROS/ROS 2, LiDAR
AI focus
Develop an independent safety layer that constrains and monitors robotic autonomy, including learned policies and complex controllers.
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