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