Mountain View
3 months ago

Job Overview

Job Type
FullTime
Pay
$200K – $300K • Offers Equity

Job description

Salary:
USD 200,000 - 300,000 per year
Location:
Mountain View, United States
Work arrangement:
On-site

Role Summary

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
Role:
Staff Robotics System Safety Engineer
Job Type:
FullTime

Company profile

Rhoda AI

rhoda.ai

Rhoda AI is a robotics company that builds general purpose foundation models for deploying robotic systems in commercial and industrial environments such as factories, warehouses and production sites. Its FutureVision capability and Direct Video Action model are designed to handle real-world industrial tasks autonomously, with models pre-trained on hundreds of millions of videos and then post-trained on 1 to 10 hours of trajectory data. The company is led by CEO and co-founder Jagdeep Singh and publishes research on scaling web-video pre-training for robot policies.

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