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Senior Localization and Planning Engineer - Autonomous Vehicles

NVIDIA

Software and Technology Jobs

Senior Localization and Planning Engineer - Autonomous Vehicles

full-timePosted: Jul 25, 2025

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. 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 July 29, 2025.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.#deeplearning

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

21,000,000 - 33,600,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • C++intermediate
  • algorithmic designintermediate
  • RAIIintermediate
  • exception safe coding practicesintermediate
  • MISRAintermediate
  • ISO26262intermediate
  • navigation mapsintermediate
  • Google Mapsintermediate
  • localizingintermediate
  • perception-map associationintermediate
  • lane selectionintermediate
  • lane planningintermediate
  • online mappingintermediate
  • communication skillsintermediate
  • teamwork skillsintermediate
  • cross-team collaborationintermediate

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NVIDIA logo

Senior Localization and Planning Engineer - Autonomous Vehicles

NVIDIA

Software and Technology Jobs

Senior Localization and Planning Engineer - Autonomous Vehicles

full-timePosted: Jul 25, 2025

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. 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 July 29, 2025.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.#deeplearning

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

21,000,000 - 33,600,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • C++intermediate
  • algorithmic designintermediate
  • RAIIintermediate
  • exception safe coding practicesintermediate
  • MISRAintermediate
  • ISO26262intermediate
  • navigation mapsintermediate
  • Google Mapsintermediate
  • localizingintermediate
  • perception-map associationintermediate
  • lane selectionintermediate
  • lane planningintermediate
  • online mappingintermediate
  • communication skillsintermediate
  • teamwork skillsintermediate
  • cross-team collaborationintermediate

Target Your Resume for "Senior Localization and Planning Engineer - Autonomous Vehicles" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Localization and Planning Engineer - Autonomous Vehicles. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Localization and Planning Engineer - Autonomous Vehicles" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior Localization and Planning Engineer - Autonomous Vehicles @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

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