# Senior/Staff Safety Research Engineer - Quantitative Risk Assessment

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** Other
**Salary:** $162k – $291k/yr
**Skills:** SQL, Spark, Python, Statistics, Probability Theory, Data Science, Distributed Computing
**Posted:** 2026-03-27

> Leads quantitative risk assessment for autonomous vehicle safety, improving metrics, analyzing petabytes of driving data with distributed computing, and automating safety frameworks. Requires MS/PhD in engineering/science with statistics focus and 3+ years experience.

## Job Description

## Responsibilities
- Lead efforts to 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 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 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

## 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

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