NVIDIA
PhD Research Intern, AI-Aided Engineering – 2027
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Education
- Pursuing a PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.
About the job
Conduct research on AI methods for physical simulation and engineering design, collaborating with researchers and product teams to transfer findings into practical applications.
What you'll do
- Research, design, and implement AI methods for physical simulation and engineering design.
- Collaborate with team members, mentors, and researchers.
- Work with product groups to transfer research into practical applications.
What they ask for
- Pursuing a PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.
- Strong research track record and ability to develop and evaluate new ideas.
- Excellent Python skills and experience with PyTorch or a comparable framework.
- Expertise in physical simulation and engineering (such as CFD or CAD/NURBS modeling) or training large-scale deep learning models.
Nice to have
- Experience with geometry encoding and learning from meshes, point clouds, or CAD.
- Experience developing agentic AI systems, particularly for tool use, automated experimentation, or scientific and engineering workflows.
Pay
38 USD - 94 USD hourly rate
Tools
Python, PyTorch, CFD, CAD/NURBS
AI focus
Develop AI methods for physical simulation and engineering design, including neural operators, geometric representations, and large-scale learning.
Model-written summary · the original posting is authoritative