Senior Localization and Planning Engineer - Autonomous Vehicles
at Nvidia
USD 184,000-356,500 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Algorithms
Communication @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We are looking for Localization and Planning Engineers to work on navigation maps for autonomous driving systems. Navigation maps provide rich driving context, including road-level and lane-level information. In this role, you will work on localization, perception-map association, and lane selection with navigation maps to enable advanced autonomous vehicle features.
Responsibilities
- Design and implement systems using standard navigation maps, such as Google Maps, to navigate vehicles along routes at the lane level.
- Ensure algorithms perform effectively across large-scale real-world and synthetic datasets in diverse environments.
- Write safe, highly efficient code in modern C++.
- Productize software for real-world deployment in consumer vehicles.
- Follow automotive quality and safety standards, including MISRA and ISO 26262.
Requirements
- Bachelor's, master's, or PhD in Computer Science or a related field, or equivalent experience.
- 8+ years of proven experience.
- Strong algorithmic design background.
- Outstanding communication and teamwork skills for cross-team collaboration and work in a closely connected team.
- Meticulous software craftsmanship using modern C++, RAII, and exception-safe coding practices.
Preferred Qualifications
- Industrial experience with navigation maps, online mapping, or lane planning.
Additional Information
NVIDIA provides equity and benefits. Applications will be accepted at least until August 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to equal employment opportunity.
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