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.
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.
Requirements
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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