About the role#
NVIDIA Research is looking for interns to join the AI-Aided Engineering team. You will work with mentors to create new AI methods for physical simulation and engineering design. The team focuses on neural operators, geometric representations, and large-scale learning. You will have opportunities to publish your work at conferences and journals.
What you'll do#
- Research, design, and implement new AI methods for physical simulation and engineering design.
- Work with your team, mentor, and other researchers.
- Collaborate with product groups to move research into practical applications.
What you'll need#
- Currently pursuing a PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.
- A 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 both independently and collaboratively.
- Deep expertise in computational fluid dynamics (CFD) including running numerical solvers and analyzing simulation results, or CAD/NURBS-based geometric modeling and geometry processing.
- A proven track record training large language models, vision transformers, or other large-scale neural networks.
- Experience with geometry encoding and learning from meshes, point clouds, or CAD is a plus.
- Experience developing agentic AI systems for tool use, automated experimentation, or scientific and engineering workflows is a plus.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: 38 USD - 94 USD per hour.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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