PhD Research Intern: AI-Driven Engineering and Simulation

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

Benefits offered by this job

Intern benefits

Competitive salaries and comprehensive

Job summary

NVIDIA Research is seeking research interns to join the AI-Aided Engineering (AIE) team in Santa Clara, CA. You will work on novel AI methods for physical simulation, neural operators, and geometry representations under experienced mentors.

As an intern, you’ll design and implement algorithms, collaborate across teams to transfer research into practical applications, and have opportunities to publish. Pursue PhD-focused candidates are encouraged to apply, with competitive compensation and

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 at least one of the following: CFD/geometry modeling or large-scale DL model training.

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

Communication

Independent work

Research track record

Education

PhD candidate in Computer Science, Applied Mathematics, Physics, or Engineering

Tools

PyTorch

Job description

NVIDIA Research is seeking research interns to join the AI-Aided Engineering (AIE) team in Santa Clara, CA. You will work on novel AI methods for physical simulation, neural operators, and geometry representations under experienced mentors.

As an intern, you’ll design and implement algorithms, collaborate across teams to transfer research into practical applications, and have opportunities to publish. Pursue PhD-focused candidates are encouraged to apply, with competitive compensation and