1

Internship Warp Jobs (NOW HIRING)

We are expanding at warp speed and are adding to our team - from our sales office and shop floor ... This internship is unpaid Our Company offers a competitive salary and comprehensive benefits ...

Mentoring interns and more junior research scientists and engineers. What we need to see: * A PhD ... Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a ...

Internship Warp information

See salary details

$8

$15

$21

How much do internship warp jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship warp 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.
More about Internship Warp jobs

What cities are hiring for Internship Warp jobs?

Cities with the most Internship Warp job openings:

What are the most commonly searched types of Warp jobs?

The most popular types of Warp jobs are:

What states have the most Internship Warp jobs?

States with the most job openings for Internship Warp jobs include:

Infographic showing various Internship Warp job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

NVIDIA 2027 Internships: Ph.D. Research Graphics and Simulation

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 3 days ago

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

By submitting your resume, you acknowledge that your Ph.D. Research Graphics and Simulation 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 Graphics and Simulation teams. We're seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
  • Design and develop algorithms, hardware, and software that advance the state of the art in computing, graphics, media processing, and other technologies central to NVIDIA's business.
  • Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results may include prototypes, patents, leading to products and publications.
  • Collaborate with other team members, teams, and/or external researchers.

What we need to see:
  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical 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.
  • Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:

Python, C, CUDA, HLSL/GLSL, ML Frameworks (PyTorch, JAX, Warp)
  • Strong background in research with publications at top conferences.
  • Excellent communication and collaboration skills.
  • Experience with large-scale model training is a plus.

Potential internships require research experience in at least one of the following areas:
  • Real-Time Graphics and Rendering

Differentiable Rendering
Ray Tracing and Path Tracing
Neural Rendering Models
Light Transport and Material/Shape Modeling
  • Simulation and Animation

Physics-based simulation
World models
Deep learning for animation
3D and 4D Content Creation
Virtual and augmented reality environments
  • Generative AI for graphics, simulation, and content creation
  • 3D Deep Learning
  • Digital human creation
  • Human motion modeling
  • GPU-accelerated algorithms and systems for graphics and simulation
  • Synthetic data generation

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 38 USD - 94 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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