Senior Validation Analyst - Autonomous Vehicles

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

This role focuses on improving the evaluation framework for autonomous vehicles, specifically for metric evaluation of vehicle-level behavior at scale. It involves enhancing the analytics framework and data pipeline, leveraging cloud platforms for large-scale metric evaluation and testing, and analyzing driving logs for behavior analysis and statistical analysis.

What you'd actually do

  1. As a member of our Autonomous Vehicles Verification & Validation team, you will be working on behavior analysis at scale, principally using driving logs, for metric evaluation and statistical analysis.
  2. Improve the existing analytics framework and the data pipeline to support analysis of vehicle behavior on thousands of driving miles per day
  3. Leverage cloud computing platforms for large scale metric evaluation and testing
  4. You will collaborate with a diverse team of engineers encompassing the entire NVIDIA Automotive platform. As such, you should have a track record of working well across organizations

Skills

Required

  • Python
  • C/C++
  • software design and architecture skills
  • data analytics skills
  • statistics fundamentals
  • virtualization technologies
  • data pipelines
  • cloud computing

Nice to have

  • Background in behavior analysis of autonomous vehicles
  • architecting and developing scalable pipelines and workflows to analyze large amount of driving data
  • testing autonomous driving software at the vehicle level

What the JD emphasized

  • improving the evaluation framework
  • metric evaluation of vehicle level behavior at scale
  • behavior analysis at scale
  • metric evaluation and statistical analysis
  • Improve the existing analytics framework and the data pipeline
  • large scale metric evaluation and testing

Other signals

  • improving the evaluation framework
  • metric evaluation of vehicle level behavior at scale
  • behavior analysis at scale
  • metric evaluation and statistical analysis
  • Improve the existing analytics framework and the data pipeline
  • large scale metric evaluation and testing