PhD Research Intern, AI-Aided Engineering - 2027

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

Benefits offered by this job

Intern benefits

Hourly pay based on position

Job summary

NVIDIA Corporation's Research team in Santa Clara, CA invites research interns to join the AI-Aided Engineering group. You will work on novel AI methods for physical simulation and engineering design under experienced mentors.

Projects are tailored to your expertise, with opportunities to publish at leading conferences and journals, and to transfer research into practical applications. This posting is for an existing vacancy; applications are accepted until 2026-10-11.

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 ability to work independently and collaboratively.
• Expertise in computational fluid dynamics, CAD/NURBS geometry, or large-scale deep learning models 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

PyTorch

Research experience

Communication skills

Education

PhD in Computer Science, Applied Mathematics, Physics, Engineering, or related field

Tools

PyTorch

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology- and amazing people. 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.

What you’ll be doing

• 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.

What we need to see

• 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.

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 hourly rate for our interns is 38 USD - 94 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until October 11, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.