PhD Research Intern, AI-Aided Engineering – 2027

NVIDIA•Us, CA

About The Position

NVIDIA Research is looking for research interns to join the AI-Aided Engineering (AIE) team. We develop novel AI methods for physical simulation and engineering design, with a focus on neural operators, geometric representations, and large-scale learning. You will work with experienced mentors on research that advances the field and has real-world impact. We tailor internship projects to match interns’ expertise, with opportunities to publish at leading conferences and journals.

Requirements

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.
Strong expertise in at least one of the following: Large-scale deep learning model training: A proven track record training large language models, vision transformers, or other large-scale neural networks.

Nice To Haves

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.

Responsibilities

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