Senior System Engineer - AI Safety

About the Company

Rhoda AI is 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.

Responsibilities

• Lead AI-specific hazard identification and risk assessment sessions using STPA, FMEA, and scenario-based analysis
• Assess risks introduced by AI model updates and retraining cycles, including regression of safety-critical behaviors
• Identify unsafe control actions arising from AI decision-making across all robot operating modes
• Establish safety requirements for AI model inputs, outputs, confidence thresholds, and uncertainty quantification
• Develop test cases for verification and validation of AI safety
• Define, engineer, deploy and employ system safety validation cells to collect artifacts for safety assessors
• Maintain full traceability from safety goals through AI system requirements to test cases and evidence artifacts

Requirements

• B.S. in Computer Science, Systems Engineering, or Robotics
• Experience designing AI-based safety systems for complex electromechanical products
• Understanding of AI/ML failure modes like distributional shift, model uncertainty, and unsafe generalization
• Experience in STPA
• Hands-on experience in Verification and Validation of AI-focused safety requirements

Preferred Qualifications

• Experience in humanoid robots, automotive, or autonomous mobile robots (AMR)
• Experience applying ISO/IEC TS 22440 or ISO/PAS 8800
• Certified Functional Safety Engineer in IEC 61508 or ISO 26262
• Experience in automotive ADAS or robotics collision avoidance
• Experience with vision, time of flight cameras, or laser sensors
• In-depth understanding of safety-critical architectures for algorithms
• Direct experience building structured Safety Cases for learned or adaptive AI systems