Senior/Staff Safety Research Engineer, Crash and Injury Modeling - Zoox

Job Title: Senior/Staff Safety Research Engineer, Crash and Injury Modeling
Job Location: Foster City, CA
Job Listing URL: https://jobs.lever.co/zoox/6ffe8d7e-e06f-48e3-b865-0c12f057eb10
Job Description: Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. You will be part of the SDMA Safety Research team which is scoped with enhancing the foundational approaches used in the safety case. The research you do could potentially lead to methodologies which can inform critical design aspects of the Zoox robotaxi.
In this role, you will:
Lead data analysis of various crash data sources including naturalistic driving data and crash databases to establish road user safety benchmarks
Lead the development of collision injury modeling using empirical, testing, and other data sources to inform the evaluation of Zoox autonomous driving safety performancesImprove our safety risk assessments methodology and data sources.
Contribute to the development and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Systems Engineers, Software and Hardware Engineering, Safety Strategy and Operations, Vehicle Engineering, Policy, Legal, etc.
Qualifications
M.S. or higher degree in an Engineering or Science discipline with a focus in biomechanical engineering, injury epidemiology, mechanical engineering, statistics or similar.
Proficiency in quantitative analysis/modeling and relevant tools
Have the ability to use Python to interface with Zoox-internal driving- and simulation data sources
5+ years relevant experiences in analyzing automotive crash and naturalistic databases
Collaborative team player with strong written and verbal communication skills
Bonus Qualifications
Ph.D. in an Engineering or Science discipline with a Data Science or Statistics focus
7+ years of relevant work experience related to traffic conflicts, naturalistic driving data analysis, and/or injury epidemiology
Publications in the field of vehicle/traffic safety research and collision epidemiology

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