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.
- Develop and standardize best practices for the company.
- 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
Compensation and Benefits
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $176,000 to $290,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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 accommodations@zoox.com 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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