Senior/Staff Safety Research Engineer - Quantitative Risk Assessment

Senior/Staff Safety Research Engineer - Quantitative Risk Assessment Foster City, CA

System Design and Mission Assurance - Systems Engineering - Safety /Hybrid apply for this job

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zooxs 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 efforts to improve the fidelity of Zooxs 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 the risk assessment framework
• 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, Fleet Operations, Safety Strategy and Operations, Legal, etc.

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
• Proficient with SQL / Spark / Python for interfacing with Zooxs 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

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
• Experience with human behavior data

$162,000 - $291,000 a year

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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 candidates 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. Were 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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Accommodations If you need an accommodation to participate in the application or interview process please reach out to [emailprotected] 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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