NVIDIA

AI

SoftwarePerformanceatScaleIntern-Fall2026

$0–0k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Software Performance at Scale Intern - Fall 2026 at NVIDIA. Skills: Software performance, GPU clusters, Deep Learning. Develop software performance. Evaluate software performance”

Industry & Context.

AI
Problems you'll solve

Intelligent data-based decisions

What They're Looking For.

Must Have

C/C++, Python, Algorithms, Data structures, Systems software, Deep Learning frameworks, High performance computing, Large-scale computing

Nice to Have

Performance profiling tools, Performance profiling techniques, Software performance optimization, Open-source projects, Coding competitions

What You'll Do.

Develop software performance

Evaluate software performance

Optimize software performance

Analyze large scale workloads

Search for improvement opportunities

Integrate performance improvements

Validate performance improvements

How You'll Work.

Team & Collaboration

Collaborating with engineers; Working closely with cross-functional teams

Full Job Description

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. **What you 'll be doing:** * 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. **What we need to see:** * Current enrollment in a Bachelor’s, Master’s, or PhD program in Computer Science, Electrical Engineering, or a related

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