Senior Validation Analyst - Autonomous Vehicles
Location: US, CA, Santa Clara
Time Type: Full time
Job Description
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services! Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars! NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
The autonomous vehicles verification and validation team is hiring a senior system software engineer to join the evaluation team, with the main focus on improving the evaluation framework to support metric evaluation of vehicle level behavior at scale.
What You’ll Be Doing:
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.
Improve the existing analytics framework and the data pipeline to support analysis of vehicle behavior on thousands of driving miles per day
Leverage cloud computing platforms for large scale metric evaluation and testing
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
What We Need To See:
MS, or PhD degree in Data Science, Computer Science, or similar data analytics educational background, or equivalent experience
8+ years of work-related experience
You demonstrate excellent Python, C/C++, software design and architecture skills
Excellent data analytics skills, including strong statistics fundamentals.
Familiarity with virtualization technologies and data pipelines
Experience with cloud computing
Ability to write user documentation and technical guides
Excellent communication and presentation skills
Ways To Stand Out From The Crowd:
Background in behavior analysis of autonomous vehicles
Experience with architecting and developing scalable pipelines and workflows to analyze large amount of driving data
Experience with testing autonomous driving software at the vehicle level
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.There are more than 50,000 engineering jobs:
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