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Internship Gpu Engineer Jobs (NOW HIRING)

Unconventional AI

Junior System Modeling

... GPU programming (CUDA) or other hardware accelerators. • Prior research or internship experience in high-performance computing (HPC) or neuromorphic systems. • Contributions to open-source AI or ...

University of Chicago

Senior Platform Engineer

$107K - $146K/yr

... interns and onboarding staff and technical leadership in technical initiatives. • Actively ... GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem ...

Bitdeer

$100 - $160/hr

... GPU rental fleet across self-built and OEM-rented data centers. As an Early Career Platform ... Prior internship or project work involving Kubernetes Operators, Helm, or GitOps tools (ArgoCD ...

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How much do internship gpu engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for internship gpu engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Gpu Engineer vs Gpu Engineer?

AspectInternship Gpu EngineerGpu Engineer
CredentialsEnrolled in or recent graduate of relevant degree (Computer Science, Electrical Engineering)Bachelor's or Master's in related field, relevant certifications
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time, senior projects, independent responsibilities
Industry UsageTraining phase, learning environment, entry-level tasksDesign, develop, optimize GPU hardware/software solutions

In summary, an Internship Gpu Engineer is a temporary, learning-focused role for students or recent graduates, while a Gpu Engineer is a full-time professional responsible for advanced GPU development and implementation.

How much do internship GPU engineers make?

Internship GPU engineers typically earn between $20 and $40 per hour, depending on the company, location, and level of experience. Internships usually last 3 to 6 months and may include additional benefits such as mentorship and training in GPU programming tools like CUDA or OpenCL.
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Cities with the most Internship Gpu Engineer job openings:

What are the most commonly searched types of Gpu Engineer jobs?

The most popular types of Gpu Engineer jobs are:

What states have the most Internship Gpu Engineer jobs?

States with the most job openings for Internship Gpu Engineer jobs include:

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Internship Gpu Engineer jobs near you
Infographic showing various Internship Gpu Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

NVIDIA 2027 Internships: Deep Learning Computer Architecture

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidia Corporationexternal

Full-time

Posted 6 days ago

Job description

By submitting your resume, you acknowledge that your 2027 Deep Learning Computer Architecture internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning Computer Architecture teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.
What we need to see:
  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.

Course or internship experience related to the following areas could be required:
  • Experience in one or more of these Focus Areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems
  • Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming
  • Performance Modeling, Profiling, Optimizing, and/or Analysis
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Perl, CUDA, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

Click hereto learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
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.
Applications are accepted on an ongoing basis.
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

View All Nvidia Jobs

What Nvidia employees say

Pay

Benefits

Hours and flexibility

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