Principal Autonomous Vehicles Engineer - Mapping and Localization

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins technology.
Embedded
Principal Software Engineer
In-Person
5,000+ Employees
15+ years of experience
AI · Automotive

Description For Principal Autonomous Vehicles Engineer - Mapping and Localization

NVIDIA, the world leader in accelerated computing, is seeking a Principal Autonomous Vehicles Engineer specializing in Mapping and Localization. This role is at the forefront of self-driving technology, working on NVIDIA's DRIVE AGX hardware platform and DRIVE software. The position focuses on developing robust solutions for autonomous driving using various mapping systems, including parking garage maps, crowdsourced maps, and navigation maps.

The role combines advanced technical skills in computer vision, 3D geometry, and real-time systems with the challenge of building production-ready autonomous driving solutions. You'll be working with NVIDIA's cutting-edge GPU technology, implementing efficient algorithms using CUDA for parallel processing, and ensuring your solutions meet stringent automotive safety standards.

This is an opportunity to join a company that's leading the AI revolution in autonomous vehicles, with the potential to make a significant impact on global transportation safety. NVIDIA offers the chance to work with some of the most forward-thinking professionals in the industry, backed by substantial resources and a clear vision for the future of autonomous driving.

The ideal candidate will bring 15+ years of experience, deep expertise in computer vision and mapping technologies, and the ability to write high-performance C++ code. You'll be part of a collaborative team working on solutions that will be deployed in consumer vehicles, making this an excellent opportunity for someone who wants to combine technical excellence with real-world impact.

Last updated 5 days ago

Responsibilities For Principal Autonomous Vehicles Engineer - Mapping and Localization

  • Design and build robust and accurate solutions for map enhanced autonomous driving
  • Localize to map data to provide precise and rich model of the environment around the car
  • Ensure algorithms work well on large amounts of real and synthetic data
  • Write safe, highly efficient real-time code in C++ using GPGPU programming in CUDA
  • Productize software for real-world deployment following automotive quality and safety standards

Requirements For Principal Autonomous Vehicles Engineer - Mapping and Localization

  • BS, MS, or PhD in Computer Science or equivalent experience
  • 15+ years of proven experience
  • Experience in computer vision, 3D geometry, mapping, localization, route & lane planning
  • Outstanding communication and teamwork skills
  • Meticulous craftsmanship of software in modern C++
  • Solid foundation in linear algebra and geometric computer vision

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