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 data scientist 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.

• 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.