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, using large among of driving logs for metric evaluation
Improve the existing evaluation framework and the data pipeline to support analysis of vehicle behavior on thousands of driving miles per day
Train testing teams to evaluate the behavior of the AV software based on vehicle level requirements, including evaluating the product metrics on the target production vehicles
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 Computer Science, Electrical Engineering, or Computer Engineering or equivalent experience
5+ years of work-related experience
You demonstrate excellent Python, C/C++, software design and architecture skills
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. NVIDIA accepts applications on an ongoing basis.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
