Senior/Staff Safety Research Engineer - Quantitative Risk Assessment
at Zoox
Foster City, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 12 Sep, 2024 | USD 282000 Annual | 15 Jun, 2024 | 7 year(s) or above | Risk Assessment,Probability Theory,Publications,Python,Statistics,Safety Engineering,Data Science | No | No |
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Description:
Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company.
As a safety research engineer focused on quantitative risk assessment, you will help Zoox to improve and expand our existing safety risk assessment framework. The safety risk assessment framework is a critical part of the overall safety case and informs the decision-making in every aspect of the technology.
QUALIFICATIONS
- 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
- Have the ability to use Python to interface with Zoox-internal driving- and simulation data sources
- 7+ years relevant work experiences in understanding and quantifying safety risks
- Collaborative team player with strong written and in-person communication skills
BONUS QUALIFICATIONS
- 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
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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Responsibilities:
- You will lead research efforts to improve the quantitative risk assessment methodology
- You will identify, collect, and analyze statistical data where it is available
- You will develop and standardize best practices of safety risk assessment across the company
- You will develop and automate the tooling of the the risk assessment framework
- You will contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Software, Hardware, Vehicle Development, Operations, Safety Policy, Legal, etc.
REQUIREMENT SUMMARY
Min:7.0Max:12.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Engineering, Statistics
Proficient
1
Foster City, CA, USA