Senior Localization Engineer - Autonomous Vehicles

About NVIDIA and Autonomous Vehicles

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. Do you agree with us that this truly is an extraordinary time and that the era of AI has begun? We are proud that NVIDIA is playing a meaningful role in this development, where our hardware and software platforms power a large eco-system of partners who are working to deliver products, all over the world. In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software.

We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us. An always available map helps tremendously for reliable autonomous driving. In this role, 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 with ASIL safety requirements in mind.
• Localize to 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

• PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Experience in computer vision, 3D geometry, mapping, localization 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

Why Join NVIDIA?

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!

Compensation and Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Application Information

Applications for this job will be accepted at least until March 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

Equal Opportunity Employer

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Key skills/competency

• Autonomous Vehicles
• Localization
• Computer Vision
• C++
• CUDA
• Mapping
• 3D Geometry
• Software Engineering
• ASIL Safety
• Real-time Systems