Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company. As a safety research engineer focused on quantitative risk assessment, you will help Zoox to improve and expand our existing safety risk assessment framework. The safety risk assessment framework is a critical part of the overall safety case and informs the decision-making in every aspect of the technology.

In this role, you will:

• Lead efforts to improve the fidelity of Zoox’s safety and progress performance metrics

• Apply distributed computing algorithms to efficiently analyze petabytes of urban driving and vehicle testing data

• Develop and standardize best practices of safety risk assessment across the company

• Develop and automate the tooling of the the risk assessment framework

• Contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Software, Hardware, Vehicle Development, Fleet Operations, Safety Strategy and Operations, Legal, etc.

Qualifications

M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data Science

Proficiency in quantitative analysis/modeling tools

Proficient with SQL / Spark / Python for interfacing with Zoox’s urban driving and simulation data

At least 3 years of relevant work experience in understanding and quantifying safety risks

Collaborative team player with strong written and in-person communication skills

Bonus Qualifications

Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focus

Publications in the field of quantitative risk assessment for safety engineering

Experience with human behavior data

162000 - 291000 USD a year