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
Requirements:
- 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
- Proven experience in developing test cases with fault injection, instrumenting and executing those test cases, analyzing data and presenting to cross-functional teams to argue for a passing result or a pivot in design or test methodology
- Proven experience working in at least of one of the three basic disciplines: Electrical Engineering, Mechanical Engineering, Software Engineering
Nice to have
- Certification from TUV Rheinland or similar in Functional Safety ( IEC 61508 or Machinery)
- Experience in AI safety for Physical AI
- In-depth understanding of autonomy sensor methods - vision, TOF, laser, etc
- In-depth understanding of motor control
- In-depth understanding of safety-critical embedded systems electronics, firmware and software
- Significant experience developing, characterizing or troubleshooting various electric and pneumatic actuators
- Experience designing and deploying robotic solutions for industrial manufacturing
- Experience with robotics more than one industry, among surgical, aerospace, automotive, mining, earth-moving, agricultural, home and commercial service robots
- M.S. Engineering degree