# Research Intern - AI-Aided Engineering (AIE)

**Company**: NVIDIA
**Job type**: internship
**Salary**: $38 - $94 per hour
**Category**: IT
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--AI-Aided-Engineering---2027_JR2026940?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0213ccc5-562

## Description

NVIDIA Research is seeking research interns to join the AI-Aided Engineering (AIE) team. The team develops novel AI methods for physical simulation and engineering design, focusing 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. Internship projects are tailored to match interns' expertise, with opportunities to publish at leading conferences and journals.

**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.

**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.

- Large-scale deep learning model training: A proven track record training large language models, vision transformers, or other large-scale neural networks.

**Preferred Qualifications:**

- 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.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. The hourly rate for interns is $38 - $94 USD.

Applications for this job will be accepted at least until October 11, 2026.

## Skills

### Required
- Python
- PyTorch
- Computer Science
- Applied Mathematics
- Physics
- Engineering
- Physical Simulation
- Large-scale Deep Learning

### Nice to have
- Geometry Encoding
- Agentic AI Systems
- CAD
- Meshes
- Point Clouds

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--AI-Aided-Engineering---2027_JR2026940?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)