Senior Autonomous Vehicles Engineer - Mapping and Localization

e, you will help build robust solutions for using ubiquitous navigation maps as well as our crowd sourced maps in our driving stack.

What you'll be doing:

• Design and build robust and accurate solutions for map enhanced autonomous driving.

• Localize to and lane plan with map data to provide the most precise and rich model of the environment around the car, including beyond the horizon of perception.

• Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions.

• Write safe, highly efficient real-time code in C++, making use of algorithmic parallelism offered by GPGPU programming in CUDA.

• Productize all software for real-world deployment to consumer cars, following automotive quality and safety standards (MISRA, ISO26262).

What we need to see:

• BS, MS, or PhD in Computer Science or equivalent experience.

• 4+ years of proven experience.

• Experience in computer vision, 3D geometry, mapping, localization, lane planning or related technologies.

• 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++.

• A solid foundation in linear algebra and geometric computer vision.

Ways to stand out from the crowd:

• Significant industry experience in above areas.

• Experience developing real-time Computer Vision systems.

• Experience with CUDA parallel programming

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!