About this role
In this Role, You Will…
- Analyze Fleet Safety Data: Investigate vehicle operational data, incident logs, and autonomy performance indicators to extract meaningful safety trends and insights.
- Benchmark Safety Metrics: Support benchmarking studies evaluating autonomous vehicle safety performance against peer standards, regulatory expectations, and internal thresholds.
- Build Reporting Dashboards: Design and maintain automated data pipelines, dashboards, and reporting artifacts used by safety leadership and cross-functional partners.
- Cross-Functional Collaboration: Partner with Safety Engineering, Systems Integration, and Fleet Operations to translate complex analytical findings into actionable safety mitigations.
Internship Requirements
- Currently pursuing a Master’s degree (or advanced degree) in Automotive Safety, Robotics, Mechanical Engineering, Systems Engineering, Data Analytics, or related technical discipline.
- Good academic standing and enrolled at an accredited college or university throughout the internship.
- Expected graduation date between Fall 2027 and Summer 2028.
- Able to commit to a full-time, 12-week internship.
- Ability to relocate to the Bay Area, California, for the duration of the internship.
- Interns at Zoox may not use proprietary information for thesis or publication outside of Zoox.
Technical Qualifications
- Strong background in safety engineering principles (e.g., occupant safety, system safety, risk analysis, or vehicle dynamics).
- Proficiency in quantitative data analysis and scripting (e.g., Python, SQL, or R).
- Experience building clear visual reports and dashboards using modern BI tools (e.g., Tableau, Looker, or Plotly/Dash).
- Solid grasp of statistical methods and ability to validate data integrity.
- Strong technical communication skills to explain safety data to both engineering and non-engineering stakeholders.
Bonus Qualifications
- Prior coursework or project experience in autonomous vehicle safety frameworks (e.g., ISO 26262, SOTIF / ISO 21448).
- Experience working with automotive sensor data, crash telemetry, or simulation logs.
- Familiarity with mechatronics or vehicle chassis/occupant protection systems.
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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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.