PhD Research Intern — AI-Driven Physical Simulation

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

Benefits offered by this job

Intern benefits

Competitive hourly rate

Job summary

NVIDIA Research is seeking 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 mentors on research that has real-world impact. Intern projects are tailored to match interns’ expertise, with opportunities to publish at leading conferences and journals.

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

Research experience

Communication

Independent work

Education

Pursuing PhD in CS/Math/Physics/Engineering

Job description

NVIDIA Research is seeking 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 mentors on research that has real-world impact. Intern projects are tailored to match interns’ expertise, with opportunities to publish at leading conferences and journals.