Zoox
Senior/Staff Safety Research Engineer - Quantitative Risk Assessment
Zoox, Foster City, California, United States, 94420
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.In this role, you will:
Lead research efforts to improve the quantitative risk assessment methodologyIdentify, collect, and analyze statistical data where it is availableDevelop and standardize best practices of safety risk assessment across the companyDevelop and automate the tooling of the the risk assessment frameworkContribute 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.Qualifications
M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data ScienceProficiency in quantitative analysis/modeling toolsHave the ability to use Python to interface with Zoox internal driving and simulation data sourcesAt least 7 years of relevant work experience in understanding and quantifying safety risksCollaborative team player with strong written and in-person communication skillsBonus Qualifications
Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focusPublications in the field of quantitative risk assessment for safety engineeringCompensationThere 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 $171,000 to $282,000. 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 ZooxZoox 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.Follow us on LinkedInAccommodationsIf 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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Lead research efforts to improve the quantitative risk assessment methodologyIdentify, collect, and analyze statistical data where it is availableDevelop and standardize best practices of safety risk assessment across the companyDevelop and automate the tooling of the the risk assessment frameworkContribute 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.Qualifications
M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data ScienceProficiency in quantitative analysis/modeling toolsHave the ability to use Python to interface with Zoox internal driving and simulation data sourcesAt least 7 years of relevant work experience in understanding and quantifying safety risksCollaborative team player with strong written and in-person communication skillsBonus Qualifications
Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focusPublications in the field of quantitative risk assessment for safety engineeringCompensationThere 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 $171,000 to $282,000. 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 ZooxZoox 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.Follow us on LinkedInAccommodationsIf 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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