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Full Time Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

Senior Architect, Camera ISP

Santa Clara, CA

Contribute to the build and development of world-class ISP to meet the ambitious performance and quality standards of NVIDIA's autonomous driving and robotics applications * Apply your expertise to ...

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How much do full time nvidia autonomous driving jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for full time nvidia autonomous driving in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

What is the difference between Full Time Nvidia Autonomous Driving vs Full Time Nvidia Perception Engineer?

AspectFull Time Nvidia Autonomous DrivingFull Time Nvidia Perception Engineer
Required CredentialsDegree in Computer Science, Electrical Engineering, or related field; experience with AI, deep learning, and automotive systemsDegree in Computer Science, Electrical Engineering, or related field; expertise in perception algorithms, sensor fusion, and computer vision
Work EnvironmentAutomotive industry, R&D labs, autonomous vehicle developmentAutonomous vehicle perception systems, sensor data processing, real-time software development
Employer & Industry UsageNvidia, automotive OEMs, autonomous vehicle startupsNvidia, automotive OEMs, perception-focused autonomous vehicle teams

Full Time Nvidia Autonomous Driving roles focus on developing complete autonomous vehicle systems, including perception, planning, and control. In contrast, Full Time Nvidia Perception Engineers specialize in sensor data processing and perception algorithms. Both roles require similar technical backgrounds but differ in scope, with perception engineers concentrating on sensor fusion and computer vision within the broader autonomous driving ecosystem.

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Full Time Nvidia Autonomous Driving jobs near you
Infographic showing various Full Time Nvidia Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.

Senior Research Scientist - Generative World Models for Autonomous Driving and Physical AI

Nvidia Corporation

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are seeking an outstanding Research Scientist or Research Engineer with a passion for synthetic data generation and its application to training autonomous driving models of tomorrow. As part of NVIDIA's Physical AI Platform Research team, you will drive modern research at the intersection of AI, simulation, and autonomy. You will help develop the next generation of secure self-driving vehicles and Physical AI! This role requires outstanding software engineering abilities combined with deep expertise in innovative AI and simulation technologies, including generative world models, end-to-end driving, reasoning, and vision-language models. The ideal candidate will have experience translating research into scalable, production-ready solutions for autonomous driving and simulation. They will also have a strong publication record in leading AI and computer vision forums and journals (e.g., NeurIPS, CVPR, ICCV, ECCV, ICLR, ICML, TPAMI).
You will develop innovative ways that leverage generative world models and synthetic data to improve the training, evaluation, and generalization of end-to-end driving systems. You should be passionate about advancing the state of the art through both impactful research and technology transfer. Success in this role requires strong analytical thinking, excellent communication skills, and the ability to collaborate effectively across multidisciplinary teams to deliver innovative research with real-world impact.
What you'll be doing:
  • Research, prototype, and develop new techniques using synthetic data, generative world models, and simulation. The goal is to improve training, evaluation, and generalization of next-generation autonomous driving systems.
  • Collaborate across research and product organizations to translate new AI advances into scalable technologies. Develop positive relationships with internal research teams, engineering, and product groups to accelerate innovation.
  • Drive the future of safe autonomous driving by crafting the research direction and technical roadmap of Alpamayo. Advance safe, robust, and scalable Level 4 autonomous vehicle capabilities through meaningful research and innovation transfer.

What we need to see:
  • Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience).
  • 6+ years of relevant professional experience with a strong background in deep learning, artificial intelligence, computer vision, machine learning, simulation, or autonomous systems.
  • Proven research excellence, evidenced by a strong publication record in leading AI and computer vision symposiums and periodicals (e.g., NeurIPS, CVPR, ICCV, ECCV, ICLR, ICML, TPAMI), along with experience translating research into impactful, real-world systems.
  • Exceptional software engineering skills, including expert-level programming in Python and experience building scalable machine learning systems and contributing to large, collaborative codebases.
  • Hands-on experience in one or more of these areas is required: synthetic data generation, generative environment representations, or simulation. Experience in end-to-end autonomous driving, vision-language models, foundation models, or reasoning for embodied AI is also relevant.
  • Strong communication and collaboration skills. Able to work effectively with diverse research and engineering groups and communicate complex technical ideas. Drives projects from conception to deployment.
  • Self-motivated, curious, and driven by making a difference, with a passion for advancing the state of the art while delivering research that influences products deployed at scale.

Ways to stand out from the crowd:
  • First-author publications in leading peer-reviewed AI and computer vision conferences or journals, for example, NeurIPS, CVPR, ICCV, ECCV, ICML, ICLR, or IEEE TPAMI.
  • Hands-on software engineering experience developing production-quality AI systems for autonomous vehicles, 3D computer vision, generative world and foundation models, video understanding, or large-scale simulation.
  • Demonstrated experience translating brand-new research into scalable, real-world products, from early-stage prototyping to deployment.
  • Experience leading or mentoring research projects, collaborating with diverse groups, and driving technical direction in fast-paced research environments.
  • Contributions to open-source projects, widely adopted research artifacts, or technologies that have produced measurable effects within the broader AI community or industry.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 August 4, 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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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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