NVIDIA
PhD Research Intern, Fundamental Generative AI - 2027
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Education
- Pursuing a Ph.D. program in Computer Science/Engineering, Statistics, Electrical Engineering, etc.
About the job
Research and develop large-scale generative AI methods, publish findings, collaborate across research and product teams, and transfer technology to product groups.
What you'll do
- Research, design, and implement novel, large-scale generative AI methods.
- Publish original research.
- Collaborate with research and product teams and transfer technology to product groups.
What they ask for
- Pursuing a Ph.D. in Computer Science/Engineering, Statistics, Electrical Engineering, or a related field.
- Strong publication record at top ML venues.
- Excellent knowledge of generative AI theory and practice, plus strong knowledge of computer vision, 3D, NLP, or AI for science.
- Excellent programming skills in a rapid prototyping environment and knowledge of common deep learning frameworks.
Nice to have
- C++ and parallel programming (e.g., CUDA).
Pay
38 USD - 94 USD per hour; hourly rate
Tools
Python, C++, CUDA, PyTorch
AI focus
Fundamental generative AI research for image, video, 3D, graph, and multimodal data, including emerging applications in structural biology, chemistry, drug discovery, climate modeling, and weather forecasting.
Model-written summary · the original posting is authoritative