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Nvidia Internships Jobs (NOW HIRING)

OR · On-site

$15 - $20/hr

... interns is 20 USD - 71 USD. You will also be eligible for Internbenefits. Applications for this job will be accepted at least until May 25, 2026. This posting is for an existing vacancy. NVIDIA uses ...

Senior Research Scientist, Rendering

Redmond, WA · On-site

$110K - $140K/yr

Collaborating with fantastic NVIDIA researchers, engineers, and external academics. * Helping define team research topics, goals, and guiding other researchers and interns. What we need to see:

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Nvidia Internships information

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$11

$19

$34

How much do nvidia internships jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for nvidia internships in the United States is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.63 per hour, depending on experience, location, and employer.

How can I get an internship in NVIDIA?

To secure an internship at NVIDIA, applicants should regularly check the company's careers page for open internship positions, prepare a strong resume highlighting relevant skills such as programming, engineering, or data analysis, and demonstrate proficiency in tools like CUDA or deep learning frameworks. Internships typically require current enrollment in a related degree program and may involve technical interviews to assess problem-solving abilities.

What is the difference between Nvidia Internships vs Nvidia Co-op Programs?

AspectNvidia InternshipsNvidia Co-op Programs
DurationTypically 10-12 weeks during summerUsually semester-long, 4-6 months
Work EnvironmentFull-time, project-basedPart-time, integrated with academic schedule
EligibilityUndergraduate or graduate studentsStudents enrolled in a co-op program or academic institution
Application ProcessOnline application, interviews, coding assessmentsApplication through university co-op office, interviews

Both Nvidia Internships and Nvidia Co-op Programs offer valuable industry experience, but internships are typically shorter, full-time summer roles, while co-op programs are longer, part-time roles integrated with academic schedules. Internships are ideal for students seeking quick industry exposure, whereas co-ops suit those combining work with ongoing studies.

Is it hard to get an internship at NVIDIA?

Internships at NVIDIA are competitive due to high demand and rigorous selection processes. Applicants typically need strong technical skills, relevant coursework, and a solid understanding of tools like CUDA or deep learning frameworks. The application process often includes multiple interviews and technical assessments.

What are the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive, often require strong academic performance, and provide experience in auditing, consulting, tax, and advisory services. They are valuable for students pursuing careers in accounting, finance, and consulting.

What types of projects do Nvidia interns typically work on, and how much autonomy do they have during their internship?

Nvidia interns are often assigned to real-world projects that directly contribute to the company’s products, such as developing software tools, optimizing AI models, or supporting hardware design. Interns usually work within small, specialized teams and receive mentorship from experienced engineers and researchers. While guidance is provided, interns are encouraged to take initiative, propose solutions, and manage their own tasks, fostering both independence and professional growth. Regular check-ins and collaborative meetings help interns integrate with their teams and gain valuable industry experience.

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 at NVIDIA often range from $4,000 to $8,000 per month during summer programs, with some positions offering additional benefits such as housing stipends or transportation allowances. Compensation is designed to reflect industry standards for technical internships in the technology sector.

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

To thrive as an Nvidia Intern, you generally need a strong academic background in computer science, engineering, or a related field, along with proficiency in programming languages like C++, Python, or CUDA. Familiarity with tools such as Git, Linux, and relevant development environments, as well as coursework or certifications in machine learning or graphics, is often expected. Initiative, teamwork, and effective communication are standout soft skills that help you learn quickly and contribute to projects. These abilities are crucial for making an immediate impact, adapting to challenging tasks, and collaborating within Nvidia's innovative and fast-paced environment.

What are Nvidia internships?

Nvidia internships are temporary positions offered to students and recent graduates, giving them the opportunity to work on real-world projects at Nvidia, a leading technology company known for its work in graphics processing units (GPUs), AI, and computing. Interns gain hands-on experience, mentorship from industry experts, and exposure to cutting-edge technology. These internships are typically available in areas such as engineering, software development, research, business, and marketing. Participants can work at Nvidia offices worldwide and may also benefit from networking events, workshops, and career development resources. Successful internships can often lead to full-time employment opportunities at Nvidia.
More about Nvidia Internships jobs
What states have the most Nvidia Internships jobs? States with the most job openings for Nvidia Internships jobs include:
Infographic showing various Nvidia Internships job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 93% Full Time, 2% Temporary, and 2% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.
Agentic AI Solution Engineering Intern - Fall 2026

Agentic AI Solution Engineering Intern - Fall 2026

Nvidia

Austin, TX • On-site

$16.50 - $21.50/hr

Full-time

Posted yesterday


Job description

NVIDIA has been redefining 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. 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 an outstanding Agentic AI intern to build groundbreaking multi-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing, and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.

What you'll be doing:

  • Collaborate with internal engineering teams to identify high-impact opportunities for applying agentic AI technologies.

  • Lead the design and development of agentic AI solutions that address challenges across the software development lifecycle (SDLC).

  • Develop and maintain agentic AI benchmarks to evaluate performance across diverse SDLC use cases.

What we need to see:

  • You are pursuing a Master or PhD in CS or related field with a focus on AI and LLM.

  • Must have knowledge in agentic AI, LLMs, reinforcement learning, and/or programming languages/compilers

  • Experience with AI systems development; exposure to building foundational models, agents, or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.

  • Strong C/C++ and Python programming skills.

  • Outstanding problem-solving abilities and effective communication skills.

Ways to Stand Out from the Crowd

  • Hands-on experience with multimodal agentic AI frameworks.

  • Deep expertise in building, training, and fine-tuning foundation models.

  • Experience designing, executing, and analyzing AI model evaluation and benchmarking.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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 Internbenefits.

Applications for this job will be accepted at least until June 13, 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.

Nvidia logo

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