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PhD Research Intern, Fundamental Generative AI

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: NVIDIA Corporation
Apprenticeship/Internship position
Listed on 2026-09-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 38 - 94 USD Hourly USD 38.00 94.00 HOUR
Job Description & How to Apply Below

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It is a unique legacy of innovation that is fueled by great technology—and amazing people. Today, we are 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.
Internship hourly rates:

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.

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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.

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