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Zoox

Senior/Staff Safety Research Engineer, Crash and Injury Modeling

Reposted 20 Days Ago
Be an Early Applicant
Hybrid
Foster City, CA
185K-291K Annually
Senior level
Hybrid
Foster City, CA
185K-291K Annually
Senior level
Lead data analysis and collision injury modeling to enhance safety benchmarks for autonomous driving at Zoox, collaborating with cross-functional teams.
The summary above was generated by AI
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 that 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.

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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.

Top Skills

Python
Statistical Analysis Tools
HQ

Zoox Foster City, California, USA Office

4000 E 3rd Ave, Foster City, CA, United States, 94404

Zoox Foster City, California, USA Office

1149 Chess Drive, Foster City, CA, United States, 94404

Zoox Fremont, California, USA Office

47540 Kato Road, Fremont, CA, United States, 94538

Zoox San Francisco, California, USA Office

60 Broadway St, San Francisco, CA, United States, 94111

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