Principal Autonomous Vehicles Engineer - Mapping and Localization

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins to transform industries and society.
Machine Learning
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 AI and self-driving technology, contributing to NVIDIA's DRIVE AGX hardware platform and DRIVE software.

As a Principal Engineer, you'll be instrumental in developing robust solutions for map-enhanced autonomous driving. Your responsibilities will include designing accurate localization systems, ensuring algorithms perform well across diverse environments, and writing efficient real-time code in C++ with CUDA for GPGPU programming.

The ideal candidate will have 15+ years of experience, with a strong background in computer vision, 3D geometry, and autonomous vehicle technologies. You'll need exceptional skills in modern C++ programming, a solid foundation in linear algebra and geometric computer vision, and the ability to work collaboratively in a cross-functional team.

This role offers the opportunity to work on cutting-edge technology that has the potential to revolutionize transportation and save lives. NVIDIA provides a dynamic work environment with some of the most forward-thinking professionals in the tech industry.

Join NVIDIA in Shanghai, Beijing, or Shenzhen, and be part of a team that's defining the future of autonomous vehicles and AI. If you're passionate about solving complex challenges and want to make a significant impact in the field of self-driving technology, this role offers an unparalleled opportunity to shape the future of transportation.

Last updated 3 months 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 the most 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 to consumer cars, 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
  • Hands-on experience in computer vision, 3D geometry, mapping, localization, route & lane planning or related technologies within autonomous vehicles or robotics
  • 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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