Staff Robotics System Safety Engineer

At Rhoda AI, we’re building the next generation of generalist intelligent robots.

We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots.

Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design.

We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.

Job duties

• Develop safety-related features of RhodavAI humanoid robot
• Derive by analysis and/or empirically requirements related to stopping, collision avoidance, collision sensing, motor control and diagnostics
• Define fail-safe, fail-degraded and fail-operational strategies and required architectures
• Drive requirements from inception to approval to implementation to verification
• Invent, implement and use custom instrumentation and verification equipment for the purpose of deriving, verifying requirements and developing diagnostics strategies
• Hands-on support of System Integration and Application Engineering teams
• Work closely with Mechanical, Electrical, Software and Applications teams

• 10+ years mass-produced electromechanical product development experience
• B.S. in Robotics, Mechatronics, Electrical Engineering or Computer Science
• Data collection and analysis methodologies - data acquisition and instrumentation, data conversion and analysis using Python or statistical tools, data presentation
• Proven experience in systems safety engineering, including HARA, DFMEA, FTA, STPA and safety case development for complex electromechanical systems with significant robotic aspect
• Proven track record of complex safety-critical product development from inception to mass production, including passing through safety certification
• Proven experience deriving safety requirements for a robotic system through analysis and experimentation