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How much do nvidia intern engineering jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for nvidia intern engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does an Nvidia Engineering Intern do?

An Nvidia Engineering Intern works on real-world projects alongside experienced engineers, contributing to the development of cutting-edge technologies in areas like graphics, AI, and hardware design. Interns may participate in tasks such as coding, debugging, testing, and research, depending on their specific team. The internship is designed to provide hands-on experience, mentorship, and insights into Nvidia’s innovative culture, helping students build valuable technical and professional skills for their future careers.

What types of projects and technologies do Nvidia Engineering Interns typically work on, and how do these experiences contribute to professional development?

As an Nvidia Engineering Intern, you can expect to be involved in hands-on projects that may span areas like GPU architecture, AI research, software development, or hardware validation. Interns often collaborate with experienced engineers, contributing to real-world solutions in fields such as deep learning, computer graphics, and autonomous systems. This exposure helps interns develop technical expertise, teamwork skills, and industry insights, all of which are valuable for future full-time opportunities in high-tech environments.

What are the key skills and qualifications needed to thrive as an Nvidia Engineering Intern, and why are they important?

To thrive as an Nvidia Engineering Intern, you need a solid background in computer science or electrical engineering, strong programming skills (often in C++, Python, or CUDA), and academic coursework or projects related to hardware or software development. Familiarity with development tools, source control systems like Git, and knowledge of GPU architecture or deep learning frameworks is highly valuable. Initiative, teamwork, and effective problem-solving abilities help interns stand out by contributing meaningfully to collaborative projects. These skills and qualities are crucial for adapting quickly to technical challenges and making impactful contributions in a fast-paced, innovation-driven environment.
Infographic showing various Nvidia Intern Engineering job openings in the United States as of June 2026, with employment types broken down into 60% Internship, 20% Full Time, and 20% Temporary. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Software Engineering Intern, Mapping Autonomous Vehicles - Fall 2026

Software Engineering Intern, Mapping Autonomous Vehicles - Fall 2026

NVIDIA

Santa Clara, CA

Other

Posted 13 days ago

Job description

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a software engineer intern with a strong passion in the self-driving car industry and interests/experiences in mapping, machine learning, and 3D data visualization. NVIDIA plays a meaningful role in the AI and Autonomous Vehicles industry through significant investments in the DRIVE platform and a robust ecosystem of partners. The map team is positioned on the critical path of numerous crucial AV projects, and in tight collaboration with multiple teams. We are a team laser focused on building globally scaled HD mapping solutions. We provide survey level HD Mapping and Localization services for the NVIDIA DRIVE® platform.

What You’ll Be Doing:

  • Work closely with senior engineers and learn about the tech stack to build high quality, high definition maps in a scalable way.

  • Build automation algorithms, data pipelines and visualization tools to improve map building quality/efficiency and support new mapping features.

  • Explore exciting new ideas to combine SOTA generative AI technologies and our rich mapping dataset to tackle hard problems in map building, map QA and simulation.

  • Engage with various map data consumers (perception, infra, simulation) in AV and Nvidia.

What We Need To See:

  • Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related majors

  • Excellent programming skills in Python, C++, or Java

  • Previous experience or coursework in robotics, automotive, or artificial intelligence

Ways To Stand Out From The Crowd:

  • Experience with cloud pipelines & infrastructure including Kubernetes, Docker, AWS

  • Experience in AV related areas: Self-Driving Cars, Deep Learning, Computer Vision, SLAM, Sensor fusion, and/or GPU technology

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits (https://www.nvidia.com/en-us/benefits/interns/) . ​

Applications for this job will be accepted at least until June 9, 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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