Senior System Engineer- AI Safety

About the role

This is a Senior MTS position reporting directly to the Head of Safety and Certification. The AI System Safety Engineer will own the safety assurance lifecycle for the AI system powering our humanoid robot platform operating in environments alongside humans.

Responsibilities

• Lead AI-specific hazard identification and risk assessment sessions using STPA (Systems-Theoretic Process Analysis), FMEA, and scenario-based analysis to surface AI-related failure modes of perception
• Assess risks introduced by AI model updates and retraining cycles, including regression of safety-critical behaviors
• Identify unsafe control actions that can arise from AI decision-making across all robot operating modes: autonomous navigation, collaborative manipulation, human handoff, and degraded/safe-state operation
• Establish safety requirements for AI model inputs, outputs, confidence thresholds, uncertainty quantification, and out-of-distribution detection
• Develop test cases for verification and validation of AI safety
• Define, engineer, deploy and employ system safety validation cells instrumented to collect artifacts to be reviewed by safety assessor
• Maintain full traceability from safety goals through AI system requirements to test cases and evidence artifacts

Requirements

• B.S. Computer Science, Systems Engineering or Robotics
• Experience designing AI-based safety systems for complex electromechanical products with significant safety aspects
• Demonstrated understanding of AI/ML failure modes relevant to physical systems — distributional shift, model uncertainty, unsafe generalization — and practical methods for measuring and mitigating them
• Experience in STPA
• Hands-on experience in Verification and Validation of AI-focused safety requirements

Qualifications

• Preferred Extras:
• Experience in humanoid robots, automotive, autonomous mobile robots (AMR)
• Experience in 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, laser sensors
• In-depth understanding of safety-critical architectures for algorithms
• Direct experience building structured Safety Cases for learned or adaptive AI systems deployed on physical platforms

Benefits

At Rhoda AI, we offer competitive compensation packages, comprehensive benefits, and a dynamic work environment where you can make a meaningful impact on the future of robotics.

Pay

Competitive salary commensurate with experience and qualifications.

Schedule

Full-time position with flexible working hours to accommodate your needs.