Senior Localization and Planning Engineer - Autonomous Vehicles

Posted 5 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement lane-level localization, perception-map association, and lane selection systems using navigation maps. Develop efficient, safe C++ algorithms and productize software to automotive quality and safety standards for deployment in consumer autonomous vehicles. Work with large-scale real and synthetic datasets and collaborate across teams.
Summary Generated by Built In

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. 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 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.

#deeplearning

Skills Required

  • BS, MS, or PhD in Computer Science or related field (or equivalent experience).
  • 8+ years of proven experience.
  • Strong algorithmic design background.
  • Proficient in modern C++ development, writing safe, highly efficient code (RAII, exception-safe practices).
  • Experience productizing software for real-world deployment and following automotive quality and safety standards (MISRA, ISO26262).
  • Outstanding communication and teamwork skills for cross-team collaboration.
  • Prior industrial experience with navigation maps, online mapping, or lane planning.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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