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How much do seasonal nvidia autonomous driving jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for seasonal nvidia autonomous driving in the United States is $15.88, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What is the difference between Seasonal Nvidia Autonomous Driving vs Nvidia Autonomous Vehicle Technician?

AspectSeasonal Nvidia Autonomous DrivingNvidia Autonomous Vehicle Technician
Required CredentialsRelevant certifications in autonomous driving, computer vision, and AITechnical certifications in vehicle systems, electronics, and diagnostics
Work EnvironmentResearch labs, testing sites, and development facilitiesVehicle maintenance centers, testing grounds, and field service locations
Employer & Industry UsageTech companies, automotive manufacturers, and autonomous vehicle developersAutomotive service providers, tech firms, and fleet operators

Seasonal Nvidia Autonomous Driving roles focus on developing and testing autonomous vehicle systems, requiring expertise in AI and software. Nvidia Autonomous Vehicle Technicians handle vehicle maintenance, diagnostics, and repairs related to autonomous systems. Both roles are essential in the autonomous vehicle industry but differ in responsibilities, skills, and work environments.

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Seasonal Nvidia Autonomous Driving jobs near you
Infographic showing various Seasonal Nvidia Autonomous Driving job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Nights. Highlights an 100% In-person job distribution, with an average salary of $33,031 per year, or $15.9 per hour.
Senior Software Engineer - Autonomous Driving Simulation

Senior Software Engineer - Autonomous Driving Simulation

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 23 days ago

Job description

NVIDIA is seeking a highly motivated Software Engineer to join our Autonomous Vehicle (AV) Simulation team. In this role, you will help build and scale realistic virtual environments that accelerate the training, testing, and validation of NVIDIA's autonomous driving software stack.

Our mission is to enable large-scale simulation and debugging of AV algorithms across millions of scenarios per day, spanning diverse traffic patterns, road conditions, weather environments, and edge cases. Achieving this requires deep performance optimization and systems-level analysis across the entire software stack - from AV algorithms and AI models to system software, infrastructure, and production-scale simulation workflows.

What you'll be doing:

  • Develop scalable simulation platforms and workflows for autonomous driving validation and training.

  • Work on Real2Sim and Sim2Real domain adaptation technologies to transform real-world driving incidents into diverse simulation scenarios - and bridge the gap between simulated and real-world behavior.

  • Contribute across a multidisciplinary stack involving: System software and distributed infrastructure, neural graphics & rendering, generative AI & synthetic data generation, computer vision & deep learning, and real-to-synthetic domain adaptation.

  • Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.

  • Collaborate closely with researchers, infrastructure engineers, and product teams across NVIDIA.

  • Drive technology transfer into production products and contribute to open-source initiatives where applicable.

What we need to see:

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

  • 5+ years of relevant autonomous vehicles industry experience.

  • Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.

  • Experience with modern software engineering and infrastructure tools such as Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.

  • Strong background in computer vision, deep learning, simulation systems, or related domains.

  • Excellent analytical and mathematical problem-solving skills.

  • Ability to independently drive complex projects from concept to production.

  • Strong communication, collaboration, and teamwork skills.

  • Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.

Ways to stand out from the crowd:

  • First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML.

  • Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI.

  • Proven research or engineering excellence through internships, open-source contributions, code competitions, or impactful production systems.

  • Experience optimizing high-performance or large-scale distributed workloads.

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 June 15, 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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