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
Skills Required
- 10+ years of mass-produced electromechanical product development experience
- Bachelor’s degree in Robotics, Mechatronics, Electrical Engineering, or Computer Science
- Experience with data collection and analysis, including data acquisition, instrumentation, data conversion, Python or statistical tools, and data presentation
- Systems safety engineering experience, including HARA, DFMEA, FTA, STPA, and safety case development for complex electromechanical robotic systems
- Track record of complex safety-critical product development from inception to mass production, including safety certification
- Experience deriving robotic system safety requirements through analysis and experimentation
- Experience developing and executing fault-injection test cases, analyzing data, and presenting results to cross-functional teams
- Experience in at least one discipline: Electrical Engineering, Mechanical Engineering, or Software Engineering
- Functional Safety certification from TÜV Rheinland or similar under IEC 61508 or Machinery standards
- Experience with AI safety for Physical AI
- In-depth understanding of autonomy sensor methods, including vision, time-of-flight, and laser sensors
- In-depth understanding of motor control
- In-depth understanding of safety-critical embedded systems electronics, firmware, and software
- Experience developing, characterizing, or troubleshooting electric and pneumatic actuators
- Experience designing and deploying robotic solutions for industrial manufacturing
- Robotics experience in multiple industries, such as surgical, aerospace, automotive, mining, agricultural, or service robotics
- Master’s degree in Engineering
What We Do
Rhoda AI builds robot foundation models that learn from internet-scale video to enable manipulation-capable robots to generalize in real-world industrial environments. Using a Direct Video Action architecture and its FutureVision intelligence layer, Rhoda focuses on turnkey deployments in manufacturing, logistics, and e-commerce—aiming to move robots out of controlled labs and into reliable, adaptive production settings.
