- Pursuing a PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.
- Strong research track record and the ability to develop and evaluate new ideas.
- Excellent Python programming skills and experience with PyTorch or a comparable framework.
- Excellent communication skills and the ability to work independently and collaboratively.
- Strong expertise in at least one of the following:
- Physical simulation and engineering: Deep expertise in areas such as computational fluid dynamics (CFD), including running numerical solvers and analyzing simulation results, or CAD/NURBS-based geometric modeling and geometry processing.
- Large-scale deep learning model training: A proven track record training large language models, vision transformers, or other large-scale neural networks.
Ways to stand out from the crowd
- Experience with geometry encoding and learning from meshes, point clouds, or CAD is a strong plus.
- Experience developing agentic AI systems, particularly for tool use, automated experimentation, or scientific and engineering workflows.
If you are creative, autonomous, and excited about advancing AI for science and engineering, we want to hear from you!
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.