Validation Data Scientist, Verification And Validation - Autonomous Vehicles
NVIDIA
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Large-scale data analysis
Python production-quality code
Data pipelines
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NVIDIA is seeking a Validation Data Scientist to join its Autonomous Vehicles Verification and Validation team. The role involves analyzing large-scale driving behavior and Operational Design Domain (ODD) coverage, building evaluation frameworks, and collaborating with various teams to ensure safety and performance in autonomous driving systems.
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Job Summary
Lead large-scale driving behavior and ODD analysis using extensive real-world and virtual AV driving logs to evaluate safety, comfort, and overall vehicle-level performance.
Build and improve evaluation frameworks, data pipelines, and data curation strategies to support robust analysis across thousands of test miles every single day.
Working closely with our Software Product, Testing and Development teams, you will turn open-ended safety and performance questions into clear quantitative analyses that influence what we build next.
Matching Summary
Match Score: 75
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NVIDIA is seeking a Validation Data Scientist to join its Autonomous Vehicles Verification and Validation team. The role involves analyzing large-scale driving behavior and Operational Design Domain (ODD) coverage, building evaluation frameworks, and collaborating with various teams to ensure safety and performance in autonomous driving systems.
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Skills & Requirements
Must-have
large-scale data analysis
Python production-quality code
data pipelines
cloud computing platforms
autonomous vehicle behavior analysis
Nice-to-have
experimental design
hypothesis testing
GPU-accelerated computing
simulation-based validation
leading technical direction
Key Requirements
MS or PhD or equivalent experience
5+ years data science/engineering/analytics experience
Experience with safety-critical cyber-physical systems
Experience building and operating production data pipelines