Develops and maintains safety data pipelines, dashboards, and AI-assisted triage processes for AV fleet data to support compliance and internal learnings. Requires 4+ years with large-scale datasets, Python/SQL expertise, and dashboard tools like Looker/Databricks.
175k – 210k/yr
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About the role
Responsibilities
Create, implement, and maintain internal and external safety data gathering, analysis, and reporting processes.
Support implementation of safety learnings, data programs, processes, and dashboards for awareness and decision-making.
Continuously improve data pipelines, triage processes, and dashboard functionality.
Leverage AI tools (LLMs/VLMs, prompt engineering, context engineering) for event summarization, semi-automated triage, and workflow automation.
Support development and implementation of operational safety and compliance programs.
Design, build, and maintain dashboards in Looker and Databricks.
Qualifications
BS or MS in Computer Science, Data Science, Robotics, Statistics, or related field.
4+ years experience with large-scale datasets, preferably in autonomous vehicles, robotics, or safety-critical systems.
Strong programming skills in Python (pandas, PySpark) and advanced SQL/Spark.
Experience designing and maintaining dashboards in Looker, Databricks, Tableau, or similar.
Demonstrated attention to detail in analyzing technical, engineering, or forensic data.
Familiarity with AI tools (LLMs/VLMs, prompt engineering, context engineering).
Experience working with cross-functional teams and communicating technical content.
Bonus Qualifications
Experience with NHTSA SGO, TREAD, or State AV reporting requirements.
Experience in automated vehicle systems, diagnostic data, or large-scale fleet data.
Understanding of AV stack components and vehicle behavior.
Advanced degree in Engineering or technical field.
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