Software Performance at Scale Intern - Fall 2026

NVIDIA•Santa Clara, CA

7d•$20 - $71•Onsite

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA as a Software Performance at Scale Intern and be part of a team that’s pushing the boundaries of AI and computing. This role offers a remarkable opportunity to work with our world-class engineering team in Santa Clara, CA, and use the latest Accelerated Computing and Deep Learning hardware and software platforms. Our team is dedicated to encouraging an inclusive and collaborative environment where innovation thrives and every team member is empowered to achieve their best.

Requirements

Current enrollment in a Bachelor’s, Master’s, or PhD program in Computer Science, Electrical Engineering, or a related field.
Strong programming skills in C/C++ or Python.
Proven knowledge of algorithms, data structures, and systems software.
Experience using Deep Learning frameworks.
Exposure to high performance or large-scale computing environments.

Nice To Haves

Hands-on experience with performance profiling tools and techniques.
Previous internship or project experience in software performance optimization at scale.
Contributions to open-source projects or participation in coding competitions.

Responsibilities

Collaborating with engineers to develop, evaluate, and optimize software performance in large GPU clusters.
Analyzing large scale workloads and searching for application and infrastructure improvement opportunities.
Research and analyze data, identify trends of interest, link changes to recorded events, craft conclusions and help the team make intelligent data-based decisions.
Working closely with cross-functional teams to integrate and validate performance improvements.
Research and analyze data, identify trends of interest, link changes to recorded events, craft conclusions and help the team make intelligent data-based decisions.