Senior Safety Engineer, Collision Risk

Waabi Waabi · Robotics · San Francisco, CA +4 · Remote · Safety

This role focuses on developing and implementing safety framework methods for autonomous trucking, using simulation, real-world data, and generative AI techniques to ensure and validate safety. The engineer will define requirements for automated assessment workflows, develop quantitative metrics, optimize test coverage, and ensure traceability between requirements and safety claims.

What you'd actually do

  1. Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.
  2. Develop and monitor quantitative metrics to evaluate system performance against established safety targets.
  3. Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.
  4. Define and iterate on human performance benchmarks to support robust comparative safety assessments.
  5. Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.

Skills

Required

  • 5+ years of automotive, robotics or related industry experience
  • Experience contributing to the development of a safety case for autonomous vehicles
  • Experience with using simulation and real-world testing to make readiness decisions
  • Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600
  • Strong fundamentals in mathematics, engineering and physics
  • Excellent scripting and data analysis skills with tools such as Python and SQL
  • Ability to communicate complex concepts or data in a simple-yet-accurate manner
  • Collaborative team player who works effectively across functional boundaries

Nice to have

  • Undergrad required; Masters or PhD within an engineering discipline preferred
  • Experience in launching a driverless product
  • Experience in data science and machine learning
  • Experience implementing software systems components
  • Advanced skills in data mining, mathematics, and statistical analysis

What the JD emphasized

  • safety case for autonomous vehicles
  • simulation and real-world testing to make readiness decisions
  • STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600

Other signals

  • Safety case development for autonomous vehicles
  • Quantitative metrics for safety targets
  • Simulation and real-world testing for readiness decisions
  • Safety methods and standards (STPA, SOTIF, ISO/SAE PAS 22736, UL 4600)