PhD Research Intern, AI-Aided Engineering – 2027

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Research is seeking research interns to join the AI-Aided Engineering (AIE) team in Santa Clara. You will research, design, and implement novel AI methods for physical simulation and engineering design, while collaborating with mentors and researchers to translate research into real-world products.

You will have opportunities to publish at leading conferences, with competitive hourly pay and comprehensive intern benefits.

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.

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.

Skills

Python

PyTorch

Communication skills

Independent work

Education

PhD in Computer Science/Applied Mathematics/Physics/Engineering

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. If you are creative, autonomous, and excited about advancing AI for science and engineering, we want to hear from you! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. 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.