The AV Safety Software Data Engineer will play a critical role in supporting Zoox’s safety data reporting and compliance efforts. In this position, you will work with large-scale fleet data to gather, analyze, and triage events for internal safety learnings and external compliance requirements.
As an AV Safety Software Data Reporting Engineer, you will operationalize defined requirements through data-driven analyses, dashboards, and workflow automations. You will implement innovative processes that are rigorous, diligent, and systematic, as well as applicable and repeatable, as Zoox continues to scale, to ensure reliable and safe operations. You will continually improve our internal data-gathering, analysis, and reporting processes and work closely with our Legal, Policy, Operations, Vehicle Engineering, Safety Design, Software, Hardware, and Communications teams to ensure a rigorous, disciplined, quantified engineering approach.
A successful candidate will be able to support other Zoox safety efforts, including Operational Safety, Safety Planning, Policy, System Design, and Risk Assessment activities.
In this role, you will:
- Create, implement, and maintain our internal and external safety data gathering, analysis, and reporting processes, and work cross-functionally with other internal organizations to ensure accurate regulatory reporting.
- Support the implementation of safety learnings & data programs, processes and dashboards for awareness and decision-making, including systematically ensuring representation and input from key internal stakeholders.
- Continuously improve data pipelines, triage processes, and dashboard functionality to support efficient safety data reporting.
- Leverage AI tools (LLMs/VLMs, prompt engineering, and context engineering) to assist with event summarization, semi-automated triage, and workflow automation.
- Support the continuing development and implementation of successful operational safety and compliance programs.
- Design, build, and maintain dashboards in Looker and Databricks to track safety data reports, learnings, and feature implementation.
Qualifications
- BS or MS in Computer Science, Data Science, Robotics, Statistics, or a related field.
- 4+ years of experience working with large-scale datasets, preferably in autonomous vehicles, robotics, or other safety-critical systems.
- Strong programming skills in Python (pandas, PySpark) and advanced SQL/Spark query development.
- Experience designing and maintaining dashboards in Looker, Databricks, Tableau, or similar platforms.
- Demonstrated attention to detail in analyzing technical, engineering or forensic data.
- Familiarity with AI tools (LLMs/VLMs, prompt engineering, context engineering) for data analysis, triage, or workflow automation.
- Experience working with cross-functional teams and communicating technical content clearly to both engineering and non-technical audiences.
Bonus Qualifications
- Experience with NHTSA SGO, TREAD, or State AV reporting requirements
- Experience in automated vehicle systems or diagnostic data or large-scale fleet data
- Understanding of AV stack components and vehicle behavior
- Advanced degree in Engineering, or in a technical field
- Certification in Safety or Automotive 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.
Accommodations
If 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.
