PhD Research Intern: AI for Physics & Design

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Research in Santa Clara is seeking a research intern for the AI-Aided Engineering (AIE) team to advance AI for physical simulation and engineering design. You will design and implement novel AI methods, collaborate with mentors and researchers, and help transfer research into practical applications with opportunities to publish.

Applicants must be pursuing a PhD in Computer Science, Applied Mathematics, Physics, or Engineering and have strong Python and PyTorch skills, plus excellent

Qualifications

• 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 physical simulation or large-scale deep learning; CFD or CAD/NURBS modeling.
• Experience with geometry encoding from meshes, point clouds, or CAD is a strong plus.
• Experience developing agentic AI systems for tools or experiments is a plus.

Responsibilities

• Research, design, and implement novel AI methods for physical simulation and engineering design.
• Collaborate with your team, mentor and other researchers.
• Collaborate with product groups to transfer research into practical applications.

Skills

Python programming

PyTorch

Research experience

Excellent communication

Independent work

Education

Pursuing a PhD in CS/Math/Physics/Engineering

Job description

NVIDIA Research in Santa Clara is seeking a research intern for the AI-Aided Engineering (AIE) team to advance AI for physical simulation and engineering design. You will design and implement novel AI methods, collaborate with mentors and researchers, and help transfer research into practical applications with opportunities to publish.

Applicants must be pursuing a PhD in Computer Science, Applied Mathematics, Physics, or Engineering and have strong Python and PyTorch skills, plus excellent