AV Safety Data Reporting Engineer
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.
About the job
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.
- Certification in Safety or Automotive systems.
Skills
Python, pandas, Pyspark, SQL, Spark, Looker, Databricks, Tableau, LLMs, Vlms
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