Operational Safety Data Engineer

Zoox

2600

Foster City, CA, United States

Posted on: 2025-06-25

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

The Operational Safety Data Engineer will be responsible for aggregating, analyzing, and presenting data to inform risk-based safety processes related to fleet events as Zoox safely scales its service operations. In doing so, they will work closely with System Design & Mission Assurance, Operations, PMO, Software, Hardware, and Legal teams to ensure a rigorous, disciplined, risk-based approach.

This position will require the ability to quickly gather and analyze data to support precision risk-based analyses of safety operations, and build the foundational tools for Zoox to be able to do so in an efficient manner consistent with supporting an operational service. A successful candidate will be able to bring “clarity through data” to navigate the safety risk associated with events in the field, communicate the analysis and assumptions clearly to technical and non-technical audiences alike, and collaborate with Operations to enact appropriate responsive measures. This candidate should also be able to support a rotational on-call incident management process which includes nights, weekends and holidays.

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 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.

In this role you will ...

Develop and implement new methods and tools to aggregate and analyze data to support risk-based decision making related to safety operations. Clearly and concisely communicate findings and recommendations to broad technical and non-technical audiences, including Zoox executives.

Partner with cross-functional teams (SDMA, Operations, Mapping, PMO, Software, etc.) to develop, align on and implement pragmatic safety risk evaluation frameworks.

Create and maintain safety operations dashboards representing safety KPIs, identifying trends, determining thresholds, and escalating as needed. Present regular updates to safety leadership and other executives.

Participate in safety on-call processes, including outside of standard business hours.

Qualifications

BS Degree in Computer Science, Engineering or related field with at least 6 years of experience working with safety-critical systems, or a combination of experience and education

Demonstrated expertise in safety risk management (qualitative and quantitative) to inform decision making

Motivated self-starter with a bias to action. Ability to work independently to develop new methodologies, and seek cross-functional input when needed.

Intellectual curiosity and propensity to challenge existing processes and thinking.

Ability to manage incidents, triage potential safety concerns, and escalations on-call with poise and professionalism

Familiarity with tools such as DataBricks, and proficiency in SQL, PySpark, Python, Pandas, etc.

Bonus Qualifications

Experience in AV industry and knowledge of systems and sub-systems

Technical expertise in one or more of the following areas: AI (planning, prediction, perception, etc.), ADAS development, Risk-based analysis, or SW safety critical systems

Familiarity with applicable industry safety standards such as MIL-STD-882, ISO 26262, ISO 21448 PAS, etc.

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