One Autonomy for All Robots. Field-proven embodied AI software that is finally unlocking the full potential of mobile robots in the real world. Backed by Khosla.
About the role
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 – Safety, you’ll own and advance the independent safety layer that keeps our robots safe around people, equipment, and terrain no matter what the rest of the autonomy stack decides.
What they're looking for
- 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
More about this role
FieldAI ’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
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 – Safety, you’ll own and advance the independent safety layer that keeps our robots safe around people, equipment, and terrain no matter what the rest of the autonomy stack decides. You’ll be part of a deeply technical team advancing...
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