Senior Localization Engineer - Autonomous Vehicles

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 152,000 - 241,500; Full time

Job summary

A leading technology company is seeking a Senior Localization Engineer for Autonomous Vehicles in Santa Clara. You will design solutions for map enhanced autonomous driving and localize map data for environmental modeling. Candidates must have a BS, MS, or PhD in Computer Science or equivalent experience, alongside 2+ years in computer vision, exceptional teamwork skills, and proficiency in modern C++. The role offers a competitive salary range and equity options.

Qualifications

• 2+ years of proven experience in computer vision, 3D geometry, mapping, or localization.
• Outstanding communication and teamwork skills.
• Meticulous craftsmanship of software in modern C++.

Responsibilities

• Design and build robust solutions for map enhanced autonomous driving.
• Localize map data to model the environment around the car.
• Productize software for deployment to consumer cars.

Skills

Computer vision

3D geometry

Mapping

Localization

Teamwork

C++

Education

BS, MS, or PhD in Computer Science or related fields

Tools

CUDA

Job description

Senior Localization Engineer - Autonomous Vehicles page is loaded## Senior Localization Engineer - Autonomous Vehicleslocations: US, CA, Santa Clara: US, CA, Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2014589We 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:*** BS, MS, or PhD in Computer Science or related fields (or equivalent experience).* 2+ years of proven experience.* 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 programmingWe 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!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 .Applications for this job will be accepted at least until March 16, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.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.