Validation Data Scientist, Verification And Validation - Autonomous Vehicles
Invidia
Multiple Locations
Large-scale driving behavior analysis
Python production-quality coding
Data pipeline development in cloud
The Autonomous Vehicles Verification and Validation team is focused on scaling and validating DRIVE AV software across regions, customers, and vehicle platforms
Job Summary
The Autonomous Vehicles Verification and Validation team is focused on scaling and validating DRIVE AV software across regions, customers, and vehicle platforms.
This role involves building and automating scalable workflows using cloud platforms and AI to enable data-driven decision making for autonomous vehicle safety and performance.
NVIDIA offers highly competitive salaries and a comprehensive benefits package, fostering a diverse and supportive environment for innovation.
Matching Summary
The Autonomous Vehicles Verification and Validation team is focused on scaling and validating DRIVE AV software across regions, customers, and vehicle platforms.
Skills & Requirements
Must-have
Large-scale driving behavior analysis
Python production-quality coding
Data pipeline development in cloud
Operational Design Domain evaluation
Autonomous vehicle safety analysis
Nice-to-have
Statistics and experimental design background
GPU-accelerated data processing
Simulation-based validation experience
Technical leadership in data teams
Cross-team communication skills
Key Requirements
MS or PhD in quantitative field or equivalent experience
5+ years data science or analytics experience
Experience with autonomous vehicles or safety-critical systems