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

As of Jun 29, 2026, the average hourly pay for internship nvidia autonomous driving in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

Is it hard to get an internship at NVIDIA?

Internships at NVIDIA are competitive due to high demand and the company's reputation in technology and autonomous driving. Applicants typically need strong technical skills, relevant coursework, and sometimes prior project experience in areas like AI, machine learning, or software development. The selection process involves multiple stages, including technical interviews and assessments.

Can I get an internship at NVIDIA?

NVIDIA offers internships in areas such as autonomous driving, requiring candidates to have relevant skills in software development, machine learning, or engineering. Applicants typically need to be enrolled in a related degree program and demonstrate proficiency with tools like CUDA or deep learning frameworks. Internships are competitive and usually last several months during the summer or academic year.

What is the difference between Internship Nvidia Autonomous Driving vs Intern Nvidia Computer Vision?

AspectInternship Nvidia Autonomous DrivingIntern Nvidia Computer Vision
Required CredentialsEnrolled in Computer Science, Electrical Engineering, or related fields; some knowledge of AI and roboticsEnrolled in Computer Science, Electrical Engineering, or related fields; strong programming skills in Python/C++
Work EnvironmentResearch labs, automotive industry projects, collaborative teamsResearch labs, AI development teams, tech industry settings
Employer & Industry UsageUsed by Nvidia in autonomous vehicle projects and automotive industryUsed by Nvidia in AI and computer vision applications across various sectors

Both internships involve AI, programming, and hardware knowledge, but the Autonomous Driving role focuses on vehicle systems and robotics, while Computer Vision emphasizes image processing and AI algorithms. Candidates should choose based on their interest in automotive applications versus general AI and vision tech.

How much do NVIDIA interns get paid?

NVIDIA interns typically receive a competitive hourly or monthly stipend that varies by location, role, and experience level. Intern salaries for technical roles such as autonomous driving often range from $3,000 to $7,000 per month during the summer internship program. Compensation may also include benefits like housing stipends or transportation allowances depending on the program specifics.

Is it difficult to get hired at NVIDIA?

Getting hired for an NVIDIA Autonomous Driving internship can be competitive due to the company's reputation and the specialized skills required, such as knowledge of autonomous systems, machine learning, and programming. Candidates typically need a strong academic background, relevant technical experience, and a demonstrated interest in autonomous vehicle technology. The application process often involves multiple interview stages, including technical assessments and behavioral interviews.
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Internship Nvidia Autonomous Driving jobs near you
Infographic showing various Internship Nvidia Autonomous Driving job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Senior Software Engineer - Autonomous Driving Simulation

Senior Software Engineer - Autonomous Driving Simulation

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • 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.

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

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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