Six Figure Work

Senior Research Scientist - Autonomous Vehicles

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $192,000  to $356,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (37 min ago) · observed since

About this job

We are now seeking a Sr Research Scientist for Autonomous Vehicles!

NVIDIA is recruiting top Senior Research Scientists for Autonomous Vehicle Research! AI-powered autonomous vehicles that can learn, reason, and interact with people are no longer science fiction. Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others, are getting increasingly close to widespread deployment. However, fundamental research questions still need to be addressed for us to achieve full vehicle autonomy. For instance, how can we: Enable novel training paradigms that leverage simulation to train AV policies in closed-loop? Equip autonomous vehicles with online and offline assurances that meet the standards for safety-critical systems? Ensure that autonomous vehicles work seamlessly in new places?

These are some of the exciting questions that the NVIDIA Autonomous Vehicle Research group is tackling. We bring together a diverse, interdisciplinary research team working on core topics in vehicle autonomy, including agent behavior models, end-to-end AV architectures, AI safety, closed-loop training approaches, and AV foundation models (VLMs, reasoning models, etc.). Our focus is on basic and applied research; lab members are encouraged to publish their work and open-source code as well as provide real-world impact by deploying technology within production systems. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in perception systems, machine learning, and robotics. There is an opportunity to make a strong impact on products, while having the freedom and bandwidth to conduct ground-breaking publishable research.

What you'll be doing:

  • Designing and implementing cutting-edge techniques in the field of vehicle autonomy.

  • Publish and present your original research, speak at conferences and events.

  • Collaborate with other research team members, a diverse set of internal product teams, and external researchers.

  • Have a broader impact through the transfer and/or open-source of the technology you've developed to relevant product groups.

  • Collaborate closely with product teams to transfer research results into high-end, production-level systems.

What we need to see:

  • Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).

  • 6+ years of relevant research experience in the field of vehicle / robot autonomy.

  • Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.

  • A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects

  • Excellent collaboration and interpersonal skills

  • Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA).

  • Solid understanding of common machine learning frameworks such as PyTorch and Tensorflow.

  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
192,000 USD – 304,750 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 November 3, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($192,000) is above 53% of the 1,731 Data & ML roles in California listed on this site; 9 others list the same floor. Their median floor is $184,000; the middle half runs from $154,300 to $224,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Research Scientist - Autonomous Vehicles (this listing)$192,000 - $356,500
Manager, Field Application Engineering - OEM Support$192,000 - $304,750
Senior Quantum Applied Research Scientist, Physics Modeling$192,000 - $304,750
Principal Applied Quantum Research Scientist$192,000 - $304,750
Senior Research Scientist, Security and Privacy$192,000 - $356,500
Senior Research Scientist, EDA and AI$192,000 - $356,500
Senior Robotics Research Scientist$192,000 - $356,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)

192,000 USD – 304,750 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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