Applied Scientist
Core
Building a unified, cross-modal view of autonomous system performance across simulation, track, and public road testing to drive evaluation methodology and actionable insights.
Role type
Applied Data Scientist (Evaluation & Systems)
Builds
Automated dashboards and evaluation pipelines for autonomy system performance
Domain
Autonomous Vehicles / Physical AI
Deliverable
dashboards & analysis
Required skills
SQL, Python, automated dashboarding, statistical analysis, cross-functional collaboration
Preferred skills
Autonomous vehicle/robotics industry experience, large-scale database analytics, hypothesis testing
Technologies
SQL, Python, modern BI tools
Responsibilities
Analyze autonomy system performance across simulation, track, and public road testing; Develop and maintain cross-modal dashboards for system performance; Partner with Data Platform teams to shape evaluation tooling and pipelines; Monitor and investigate anomalies in performance metrics; Act as a key partner to Safety and Autonomy teams on system KPIs
Seniority
Mid-level, hands-on IC
