AV Safety Data Engineer
DeWinter Group
- Foster City, California, United States
- Foster City, California, United States
À propos
AV Safety Data Engineer
Job Type:
Contract
Contract Length:
6+ months
Target Start Date:
ASAP
Work Location/Structure:
Onsite - Foster City, CA
About the Opportunity 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.
Key Responsibilities & Deliverables
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.
Required Skills & Experience
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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