Safety Engineer - Risk Management

What you'll do

• Create risk assessment guidance and partner across engineering and operations to produce scalable risk assessments.
• Define test coverage and field monitoring for regression protection; streamline processes and develop tools.
• Communicate risk analyses to technical leaders and safety review boards, and promote continuous improvement of the safety program.

What they ask for

• Advanced degree in Computer Science, Robotics, Engineering, or another relevant technical field, or 4 years of practical experience involving safety risk assessments and quantitative statistical methods.
• Experience developing quantitative risk models, Probabilistic Risk Assessments (PRA), or reliability analyses using statistical and mathematical techniques.
• Proficiency in Python, R, or SQL for data manipulation, statistical evaluation, and automated risk analysis scripts.
• Knowledge of risk management lifecycle and safety-critical system design and Verification and Validation; demonstrated technical project management skills.

Nice to have

• Data science and statistics experience analyzing large data sets for quantitative risk reduction, safety insights, and performance assessment.
• System safety risk management experience in autonomous vehicles or another listed safety-critical industry; experience with C++ and Python is also preferred.

Pay

$204,000 — $252,000 USD (base salary)

Tools

Python, R, SQL, C++, ISO 31000/31010, Monte Carlo simulations