AV Safety Data Engineer

Title: AV Safety Data Engineer

Job Type: Contract

Contract Length: 6+ months

Target

Start Date:

ASAP

Work Location/Structure: Onsite - Foster City, CA

Our client, a leader in the Autonomous Vehicle industry, is looking for a skilled AV Safety Data Engineer to join their team for a 6+ month engagement. This project involves developing and maintaining robust data infrastructure to surface safety-relevant interactions, assess AV events, and inform autonomy development through data-driven insights, ensuring autonomous vehicles operate safely and meet all federal and state compliance requirements.

This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.

• Developing and maintaining miners that identify events of interest from fleet and simulation data.
• Improving the accuracy and efficiency of existing miners through advanced statistical and ML techniques.
• Building scalable data pipelines and dashboards to monitor miner performance, signal quality, and key safety metrics.
• Conducting exploratory data analyses to uncover trends, failure modes, and opportunities to improve vehicle behavior.
• Triaging and assessing AV events for potential safety/legal/regulatory concerns or system gaps.
• Developing and maintaining clear triage guidelines and criteria for both onshore and offshore triage teams.
• Supporting regulatory reporting processes by providing data and analysis as needed.

• 6-8 years of experience working with safety-critical systems in AV, Automotive, Transportation Engineering, or a closely related industry (4+ years if they have an AV background).
• Strong programming skills in Python and SQL.
• Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks).
• Strong data engineering skills, including data wrangling and expertise in building maintainable, scalable, and efficient data pipelines.
• Familiarity with statistics and probability, and experience with sampling and estimation methodologies.
• Proven ability to design metrics, run analyses, and translate findings into actionable recommendations.
• Strong understanding of behavioral safety concepts and the ability to interpret vehicle behavior in real-world contexts, along with knowledge of AV requirements, road user behavior, and traffic regulations.
• Experience working with cross-functional teams and clearly communicating technical content to both engineering and non-technical audiences.
• Strong organizational skills with attention to detail, especially in process development and documentation related to data pipelines and safety analysis.
• Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field.