Senior Localization Engineer - Autonomous Vehicles

NVIDIA is hiring a Senior Localization Engineer - Autonomous Vehicles in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include computer vision.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

computer-vision

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 2+ years, MS with 4+ years, or BS (or equivalent experience) with 6+ 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

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!

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Senior Localization Engineer - Autonomous Vehicles at NVIDIA rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.