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TL;DR
Senior/Staff Safety Research Engineer (AI): Improving and expanding the existing safety risk assessment framework with an accent on quantitative risk assessment. Focus on applying distributed computing algorithms to efficiently analyze petabytes of urban driving and vehicle testing data.
Location: Hybrid, Foster City, CA
Salary: $162,000 - $291,000 a year
Company
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
What you will do
- Improve the fidelity of Zoox’s safety and progress performance metrics.
- Apply distributed computing algorithms to efficiently analyze petabytes of urban driving and vehicle testing data.
- Develop and standardize best practices of safety risk assessment across the company.
- Develop and automate the tooling of the risk assessment framework.
- Contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams.
Requirements
- M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data Science.
- Proficiency in quantitative analysis/modeling tools.
- Proficient with SQL / Spark / Python for interfacing with Zoox’s urban driving and simulation data.
- At least 3 years of relevant work experience in understanding and quantifying safety risks.
- Collaborative team player with strong written and in-person communication skills.
Nice to have
- Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focus.
- Publications in the field of quantitative risk assessment for safety engineering.
- Experience with human behavior data.
Culture & Benefits
- 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.
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