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Nvidia10K+ employees

PhD Research Intern, Fundamental Generative AI - 2027

CA$38 – $94/hrPosted 10 days ago

Immigration summary

Visa sponsorship

LikelyLow confidence

This employer sponsors, but not for roles like this one.

2,042 recent H-1B filings

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Green card sponsorship

Strong historyMedium confidence

This employer has recently sponsored green cards at scale.

443 recent certified PERM filings

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Job description

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. 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.

NVIDIA is searching for a world-class generative AI intern to join the Fundamental Generative AI research team at NVIDIA Research. We are passionate about research that pushes boundaries and builds the next generation of generative models but also has an impact in the real world. We are particularly interested in advancing fundamental generative AI methods for image, video, 3D, graph, and multimodal data. We are also actively pushing toward emerging gen AI for science applications such as structural biology, chemistry, drug discovery, climate modeling, and weather forecasting. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning. You will be empowered to make contributions that create real-world impact.

What you'll be doing:

  • Research, design, and implement novel, large-scale generative AI methods.

  • Publish original research.

  • Collaborate with other team members, research teams, as well as product teams.

  • Transfer technology to product groups.

What we need to see:

  • Pursuing a Ph.D. program in Computer Science/Engineering, Statistics, Electrical Engineering, etc.

  • Strong publication record at top ML venues such as NeurIPS, CVPR, ICLR, ICML, ICCV, ECCV, etc.

  • Excellent knowledge of the theory and practice of generative AI.

  • Strong knowledge of computer vision, 3D, NLP, or AI for science.

  • Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

  • Knowledge of common deep learning frameworks, such as PyTorch.

  • Excellent communication skills.

With competitive salaries and a generous benefits package, 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 and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, 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 38 USD - 94 USD.


You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until September 20, 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.

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Employer H-1B history

2,042
recent certified H-1B filings
1,364
new-hire petitions
0
filings for similar roles
2,424
so far in FY2026
More evidence details
  • 2,042 recent certified H-1B filings across the employer
  • Still filing this year — 2,424 filings in FY2026
  • 554 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • Strong filing activity in CA
  • 1,987 further USCIS approvals for extensions or transfers
  • We checked 467 filing titles for this employer and none describe work like this role
  • The posting says nothing about sponsorship either way

Strong filing activity in CA.

Green card sponsorship evidence

Employer PERM history

443
recent certified PERM filings
0
filings for similar roles
384
filings in this location
Certified PERM filings by fiscal year
2023362
2024280
2025573
2026722YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Nvidia
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 467 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.