Applied Physics ML Research Intern - Fall 2025

Details

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the most inquisitive people in the world. Join us at the forefront of technological advancement.

NVIDIA’s deep learning and HPC platforms have made major impact to various fields is broadly used across leading academic institutions, research labs, start-ups, and industry, including world’s largest companies. We are looking for a passionate, hard-working and creative intern to help us take on more of these unique opportunities in HPC and deep learning solutions.

Responsibilities

• Work with some of the brightest minds in a leading AI company to research, develop and implement methods for AI driven real world science and engineering problems.
• Stay up to date with the latest research and innovations in deep learning techniques, publish papers, attend conferences and interact/work with universities, national labs and industry to demonstrate thought leadership in AI driven computational sciences and engineering.

Requirements

• Pursuing a Masters or PhD in computer science, computational science/engineering, or related technical field.
• Python programming skills.
• Knowledge of neural networks as well as traditional machine learning techniques and algorithms.
• Solid background with neural network architectures (CNN variants, LSTMs, GANs, GNNs, Diffusion models, etc.) and experience in developing or using major deep learning frameworks (e.g. TensorFlow, PyTorch, etc.).
• Experience with solving and using machine learning for real world problems involving scientific/engineering simulations (e.g. CFD, life sciences, high energy physics, climate, oil & gas, structural, quantum chemistry, electromagnetics, optics, acoustics etc.) and/or scientific visualization is a big plus.

Ways to stand out from the crowd:

• Knowledge of optimization, geometry, parallel computing.
• Application of machine learning techniques to physics and possibly sensor/imaging data.
• Published papers in AI driven computational sciences and engineering in a conference or journal in the last 5 years.
• Hands-on experience in developing generative AI models.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!