Validation Data Scientist, Verification and Validation - Autonomous Vehicles
Core
Lead large-scale driving behavior and Operational Design Domain (ODD) analysis using real-world and virtual AV driving logs to evaluate safety, comfort, and vehicle-level performance.
Role type
Senior IC validation data scientist (autonomous vehicles)
Builds
Evaluation frameworks, data pipelines, data curation strategies, and automated cloud-based workflows for AV software validation
Domain
Autonomous vehicles / safety-critical cyber-physical systems
Deliverable
production ML models | dashboards & analysis
Required skills
Python (production-quality code and libraries), large-scale data analysis, data pipeline engineering, ODD coverage analysis, metric definition and computation, cloud platform usage
Preferred skills
Experience with ADAS systems, experience in safety-critical domains
Technologies
Cloud platforms, modern data engineering tools, AI workflows
Responsibilities
Lead large-scale driving behavior and ODD analysis using extensive real-world and virtual AV driving logs; Build and improve evaluation frameworks, data pipelines, and data curation strategies; Define and compute core metrics that quantify AV performance against target ODDs; Build and automate scalable workflows to surface insights and spot regressions; Develop dashboards, reports, and documentation for engineering and senior leadership
