NVIDIA
AI
SoftwarePerformanceatScaleIntern-Fall2026
Neural analysis suggests this role is
optimal for Entry candidates.
“Software Performance at Scale Intern - Fall 2026 at NVIDIA. Skills: Software performance, GPU clusters, Deep Learning. Develop software performance. Evaluate software performance”
Industry & Context.
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
Applying for this Software Performance at Scale Intern - Fall 2026 role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.