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Nvidia Internships Jobs (NOW HIRING)

Nvidia

Senior GPU Memory Architect

Durham, NC

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

Nvidia

Senior GPU Memory Architect

Santa Clara, CA · On-site

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

Nvidia

Senior GPU Memory Architect

Austin, TX · On-site

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

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Nvidia Internships information

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How much do nvidia internships jobs pay per hour?

As of Aug 6, 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 have strong technical skills in areas such as programming, computer architecture, or AI, and typically need to be enrolled in a relevant degree program. The application process involves submitting an online application through Nvidia's careers website, followed by interviews that assess technical knowledge and problem-solving abilities. Internships are competitive and often require prior project experience or coursework related to the role.

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.

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.

What are the key skills and qualifications needed to thrive as an Nvidia intern?

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.

What degree is required for Nvidia internships?

Nvidia internships typically require applicants to be enrolled in a bachelor's or master's degree program related to computer science, engineering, or a similar field. Relevant skills, such as programming experience and familiarity with tools like CUDA or AI frameworks, are also important for eligibility.
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What states have the most Nvidia Internships jobs? States with the most job openings for Nvidia Internships jobs include:
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Nvidia Internships jobs near you
Infographic showing various Nvidia Internships job openings in the United States as of August 2026, with employment types broken down into 13% Internship, 1% As Needed, 68% Full Time, 16% Part Time, 1% Temporary, and 1% Summer. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $40,232 per year, or $19.3 per hour.

Research Scientist, Efficient Deep Learning - New College Grad 2026

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and finetuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

  • Research, design and implement novel methods for efficient deep learning.

  • Publish original research.

  • Collaborate with other team members and teams.

  • Mentor interns.

  • Speak at conferences and events.

  • Work with product groups to transfer technology.

  • Collaborate with external researchers.

What we need to see:

  • Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

  • Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

  • Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.

  • Experience with large language models and large vision-language models is required.

  • Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.

  • Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

  • Outstanding research track record.

  • Excellent communications skills.

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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