AV Safety Software Engineer at zoox

The AV Safety Data Reporting Engineer will be responsible for ensuring all relevant safety data and information is accurately gathered, analyzed, and presented for compliance to multiple internal and external requirements. You will be responsible for continued development and implementation of effective data and analysis processes commensurate with Zoox’s safety innovative leadership. As an AV Safety Data Reporting Engineer, you will define and implement innovative processes that are rigorous, diligent, and systematic, as well as applicable and repeatable, as Zoox continues to scale, to ensure the highest level of safety in the organization and product. 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 quantified, rigorous, disciplined, engineering approach. In this role, you will: • Develop and maintain scalable queries using Python, Spark, and SQL to identify behavioral events of interest in fleet and simulation data. • Conduct analyses to evaluate vehicle behavior, trends, and compliance with defined Rules of the Road and Reputational Risk metrics. • Support event triage, including classification, documentation, and prioritization for further investigation. • Design, build, and maintain dashboards in Looker and Databricks to track safety and reputational metrics. • Leverage AI tools (LLMs/VLMs, prompt engineering, and context engineering) to assist with event summarization, semi-automated triage, and workflow automation. • Collaborate closely with other teams to investigate anomalies and emerging patterns, providing actionable insights for operational and strategic decision-making. • Continuously improve data pipelines, triage processes, and dashboard functionality to support efficient Safety operations. 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 ability to analyze complex behavioral or operational data and provide actionable insights. • 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. • Strong problem-solving skills and attention to detail in data-driven environments. Bonus Qualifications • PhD in Engineering in a technical field • Experience working with autonomous vehicle logs or large-scale simulation data. • Understanding of AV stack components and vehicle behavior. • Familiarity with Rules of the Road, safety metrics, or operational safety processes. 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [Upgrade to PRO to see contact] 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.