Senior Localization and Planning Engineer - Autonomous Vehicles

NVIDIA; California (MO); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in the United States seeks Localization and Planning Engineers to work on autonomous driving navigation maps, localization, and lane planning. You will design and implement systems using real-world maps, and ensure safety standards for production deployment.

You will write efficient C++ code, collaborate across teams, and contribute to production-grade software for consumer vehicles with MISRA and ISO26262 guidance.

Qualifications

• BS, MS, or PhD in Computer Science or related fields (or equivalent experience).
• 8+ years of proven experience.
• Strong algorithmic design background.
• 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++, using RAII and the best exception safe coding practices.

Responsibilities

• Design and implement systems using standard navigation maps, e.g. Google maps, to help navigate the car along a route on a lane level.
• Ensure algorithms perform effectively across large-scale real-world and synthetic datasets in diverse environments.
• Write safe, highly efficient code in C++.
• Productize all software for real-world deployment to consumer cars, follow automotive quality and safety standards (MISRA, ISO26262).

Skills

C++

Algorithm design

Communication

Teamwork

Education

BS/MS/PhD in Computer Science or related field

Job description

We are looking for Localization and Planning Engineers to join us. Navigation maps are an essential piece of autonomous driving systems, providing rich driving context, including road level and lane level information. In this role, you will work on localizing, perception-map association, and lane selection with navigation maps to enable advanced features for autonomous vehicles.

What You'll Be Doing

• Design and implement systems using standard navigation maps, e.g. Google maps, to help navigate the car along a route on a lane level.
• Ensure algorithms perform effectively across large-scale real-world and synthetic datasets in diverse environments..
• Write safe, highly efficient code in C++.
• Productize all software for real-world deployment to consumer cars, follow 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).
• 8+ years of proven experience.
• Strong algorithmic design background.
• 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++, using RAII and the best exception safe coding practices.

Ways To Stand Out From The Crowd

• Prior industrial experience with navigation maps, online mapping, or lane planning.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 August 21, 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.

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