Safety Engineer - Risk Management

Highlights

• Architect risk assessment best practices powering fully autonomous ride-hail service.
• Define test coverage and field monitoring to ensure regression protection.
• Translate complex probabilistic risk models into clear executive safety arguments.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

Ideal candidate

A rigorous systems thinker who thrives in ambiguity and champions safety culture. You love turning complex uncertainty into clear, actionable arguments that help engineering and operations scale safely.

Requirements

• Advanced degree in Computer Science, Robotics, Engineering or relevant field OR 4 years practical experience with safety risk assessments and quantitative statistical methods
• Proven experience developing quantitative risk models, Probabilistic Risk Assessments, or reliability analyses using Monte Carlo simulations, uncertainty modeling and distribution fitting
• Proficiency in Python, R, or SQL for data manipulation, statistical evaluation and automated risk analysis scripts
• Strong foundation in end-to-end risk management lifecycle including identification, assessment, mitigation and acceptance e.g. ISO 31000/31010
• Solid understanding of safety-critical system designs and systems engineering Verification and Validation process
• Demonstrated technical project management skills managing multiple parallel cross-functional safety-critical projects
• Ability to thrive in ambiguity