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

As of Jun 29, 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 June 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 5% Full Time, 62% Part Time, 1% Temporary, and 27% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.
Senior System Software Engineer - AV Platform

Senior System Software Engineer - AV Platform

Nvidia

Santa Clara, CA

Full-time

Posted 28 days ago

Key responsibilities

  • Lead the development of platform test infrastructure and workflows for validating autonomous platform systems at scale.

  • Drive technical alignment with cross functional teams to integrate test infrastructure with CI/CD workflows.

  • Enhance integration efficiency to facilitate development on Tegra-based Autonomous Vehicle platforms.

Job description

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market! This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars. You will collaborate with talented and dedicated multi-functional engineering teams across various vehicle sub-systems to integrate their work into our autonomous driving DRIVE SW platform, ensuring compliance with all relevant NVIDIA and automotive standards and guidelines. The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

What you'll be doing:

  • Lead the development of platform test infrastructure and workflows that define how we validate autonomous platform systems at scale.

  • Drive technical alignment with cross functional teams to integrate test infrastructure with CI/CD workflows.

  • Enhance integration efficiency to facilitate development on Tegra-based Autonomous Vehicle platforms.

What we need to see:

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

  • 5+ years of systems software development experience.

  • Proficiency in C/C++/Python.

  • Strong debugging skills in complex, multi-processor embedded environments.

  • Excellent communication skills and the ability to drive alignment with multiple cross-functional teams.

  • Proven expertise in embedded systems and SW/HW cross-domain knowledge.

  • Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.

  • Results-oriented, self-motivated, and proactive.

Ways to stand out from the crowd:

  • Hands on with using AI tools.

  • Experience with cloud services, Jenkins, and Docker in continuous integration and deployment systems.

  • Knowledge of general-purpose and automotive network systems (Ethernet, CAN, etc.)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.
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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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