Technical Product Management Intern, CUDA - Summer 2026

NVIDIA•Santa Clara, CA

1d•$20 - $71

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! At NVIDIA, we're at the forefront of innovation, and CUDA is at the heart of our journey. CUDA has revolutionized industries and ecosystems worldwide. Millions of developers globally rely on CUDA and NVIDIA GPUs to tackle complex challenges in Autonomous Driving, Super Computing, HPC, Cloud, Robotics, and more. The CUDA Toolkit forms the bedrock of these groundbreaking endeavors. We are seeking a Technical Product Manager Intern who can contribute to shaping this strategy. In this role, you'll collaborate with internal teams, engage with the community, and empower developers and customers to achieve what was once deemed impossible with Distributed Computing. Success in this position requires an in-depth grasp of programming languages, existing APIs, multi-node distributed computing, data management, and a solid understanding of harnessing massive parallelism for intricate computing challenges. Strong communication, collaboration, and a keen understanding of how technical choices impact both NVIDIA and customer business are also essential.

Requirements

Currently pursuing a Master's or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related engineering field.
Experience working in software development and/or product management certifications.
Experience and familiarity with scientific computing and AI applications.
Background in CUDA or GPU computing.
Prior experience in defining product requirements for Distributed Systems in the Cloud or HPC domain.

Nice To Haves

Experience with NVIDIA technologies, tools, and software
Ability to reduce complexity to simplicity
Exceptional communication skills with a proven ability to convey technical value to both technical and non-technical audiences.
Experience in developing and architecting software for Distributed Systems.

Responsibilities

Product Definition and Architecture: Co-own NVIDIA's Distributed Computing strategy in close collaboration with Technical Architects, Research, and Engineering Teams.
Product Launches: Define the go-to-market strategy and contribute to its execution across Marketing, PR, Sales, and more.
Asset Creation: Collaborate with marketing to craft positioning that supports the development of technical content, including blog posts, webinars, developer tutorials, and other value proposition tools.