Developer Technology Intern, AI - Summer 2026

NVIDIA • Santa Clara, CA

1d

About The Position

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! Developer Technology team at NVIDIA plays a pivotal role in extracting maximum performance from our computing platform which enables researchers to develop and productize these state-of-the-art technologies. Do you share our passion for Artificial Intelligence? Come join a team full of outstanding engineers to work on the AI Developer Technology team. What you will be doing: Study and develop state of the art techniques in deep learning and machine learning and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models.

Requirements

• Pursuing an MS or PhD in an engineering or Computer Science related discipline or equivalent program area.
• You'll possess strong knowledge of C/C++, software development, programming techniques, and AI algorithms.
• Experience with parallel programming and performance optimizations, ideally CUDA.
• Mathematical fundamentals, including linear algebra.
• Experience with Deep Learning models through frameworks like PyTorch, JAX, DGL, PyG
• Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills.
• Experience with low-precision arithmetic.

Nice To Haves

• Experience with CUTLASS, optimizing linear algebra on GPUs, and multi-GPU programming.
• Knowledge of high-performance computing (HPC), including GPU and CPU architecture, networking, and HPC software.
• Experience profiling and optimizing CUDA kernels
• Knowledge of programming and debugging software systems at scale using common HPC libraries like MPI.

Responsibilities

• Study and develop state of the art techniques in deep learning and machine learning and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
• Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models.

What This Job Offers

• Career Level: Intern