Staff Systems Safety- Collision Avoidance

B.S. in Engineering with focus on optics, vision pipeline, and image processing

5+ years in safety engineering for robotics, autonomous vehicles, or other safety-critical human-interactive systems.

Working knowledge of functional safety standards and how to adapt them to novel domains (e.g., ISO 26262, ISO 13849, ISO 10218, ISO/TS 15066, IEC 61508, UL 4600)

Experience designing safety systems for complex electromechanical products with significant safety aspects

Experience in optics, machine vision, and computer vision, laser sensors, LiDAR, and time-of-flight and other cameras

Experience with safety analysis methods: STPA, FMEA, FTA

Comfortable with full stack - lens, sensor, ISP, compute processing, AI algorithms, behavior prediction and trajectory control

Evidence of hands-on engineering work — test benches, measurement, and root-cause analysis, not just documentation

Hands-on experience in verification and validation of safety requirements using HIL and SIL

Experience in humanoid robots, automotive, or autonomous mobile robots (AMR)

Experience in an autonomous driving engineering program, with hands-on ownership of SOTIF (ISO 21448) processes — scenario-based risk assessment, triggering condition analysis, and unknown-unsafe scenario reduction

Certified Functional Safety Engineer in Machinery Safety or Automotive/Autonomous Driving

Experience defining and validating safety-rated sensor fusion or redundant perception architectures

Exposure to simulation-based scenario generation and coverage argument tooling (e.g., scenario mining, adversarial scenario generation) from AV SOTIF work, applicable to humanoid edge-case discovery

In-depth understanding of safety-critical architectures for vision pipeline, compute, networking, and power distribution

Strong quantitative modeling skills (Python or MATLAB) for simulation, scenario analysis, and statistical validation of safety claims

Define the safety foundation for a humanoid robot operating in real-world human environments — work that is technically deep, consequential, and genuinely unsolved at this scale

Report directly to the Head of Safety and Certification with a clear path to grow into a leadership role as the safety organization scales alongside the company

Work at the intersection of functional safety, AI-driven control, and novel electromechanical systems — a combination that doesn't exist anywhere else