We are looking for Mapping and Localization Engineers to join us. Navigation maps are an essential piece of autonomous driving systems, providing rich driving context, including road level and lane level information. In this role, you will work on localizing, perception-map association, and lane selection with navigation maps to enable advanced features for autonomous vehicles.
What you'll be doing:
Design and implement systems using standard navigation maps, e.g. Google maps, to help navigate the car along a route on a lane level.
Ensure algorithms perform effectively across large-scale real-world and synthetic datasets in diverse environments..
Write safe, highly efficient code in C++.
Productize all software for real-world deployment to consumer cars, follow automotive quality and safety standards (MISRA, ISO26262).
What we need to see:
BS, MS, or PhD in Computer Science or related fields (or equivalent experience).
8+ years of proven experience.
Strong algorithmic design background.
Outstanding communication and teamwork skills, as this project requires both cross-team collaboration and work in a tightly-knit team.
Meticulous craftsmanship of software in modern C++, using RAII and the best exception safe coding practices.
Ways to stand out from the crowd:
Prior industrial experience with navigation maps, online mapping, or lane planning.
We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents cause ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you're creative and autonomous, we want to hear from you!
The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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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.”
