Quantitative Risk Estimation Engineer

If you thrive on solving the hardest autonomy problems, we want you. This technically demanding role demands deep systems expertise, understanding of autonomy, mathematical rigor, and first-principles thinking to ensure safety in autonomous driving. You will own critical elements of our overall safety strategy to deliver safe, transformative autonomous trucking systems.

The Systems Safety team is charged with an incredibly challenging task: how to make and prove that an autonomous truck is incredibly safe (<1 fatal collision per 10^8 hours)? There is no textbook for this sort of problem. You will be part of a small, high-impact team working to solve one of the most difficult problems in autonomous driving. You will be operating at the frontier of safety, working with talented teammates to leverage existing methods and to pioneer new methods when needed.

Each teammate is charged with owning a significant part of the overall safety story, whether it's functional safety, probabilistic risk assessment, reliability engineering, building and running hardware-in-the-loop test rigs, defining and leading our structured testing campaigns, updating our safety case and documentation, and much more.

This role offers the opportunities for creating unparalleled impacts, overcoming career-defining technical challenges, and significant professional and technical growth.

What You'll Do:

• Write Python code to estimate risk using Bayesian probabilistic models in our Probabilistic Risk Assessment.
• Write C++ code to efficiently search for failure modes in insanely high-dimensional search spaces.
• Run simulations and perform analysis to generate risk-informed results that shape engineering priorities at the company.
• Pioneer new methods for practically achieving incredibly high safety levels in autonomous vehicles.
• Perform hazard analysis, risk assessments, and fault tree analysis.
• Collaborate cross-functionally to integrate safety throughout development.
• Develop and execute comprehensive validation strategies.
• Drive continuous improvement in safety processes and tools.

What you'll bring: