Senior/Staff Safety Research Engineer, Crash and Injury Modeling

4 months old

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

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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