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Software Performance at Scale Intern - Fall 2026

NVIDIA

Santa Clara, USonsite$0k-$0k/yrPosted May 27, 2026

At a glance

Highlights

  • Onsite in Santa Clara
  • Access to cutting‑edge AI hardware
  • Intern benefits and competitive hourly pay

Heads up

  • Eligibility limited to current students

Why this role might suit you

A strong fit for students in computer science or related fields who have solid C/C++ or Python skills, understand algorithms and data structures, and are eager to work on performance optimization for large GPU clusters.

Skills

c++pythonalgorithmsdata-structuresdeep-learning-frameworksperformance-profiling-toolsgpularge-scale-computing

About the role

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 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.

Ways to stand out from the crowd:

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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Compensation

This Software Engineer role pays $0k-$0k/yr. Within typical range for software engineer roles in United States.

Questions about this role

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