# Software Performance at Scale Intern

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: entry
**Job type**: internship
**Salary**: $20-$71 per hour
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Software-Performance-at-Scale-Intern---Fall-2026_JR2018701?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_19f30752-15b

## Description

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.

As a Software Performance at Scale Intern, you will collaborate with engineers to develop, evaluate, and optimize software performance in large GPU clusters. You will analyze large-scale workloads and search for application and infrastructure improvement opportunities. You will research and analyze data, identify trends of interest, link changes to recorded events, craft conclusions, and help the team make intelligent data-based decisions.

Key responsibilities include: 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. Researching and analyzing data, identifying trends of interest, linking changes to recorded events, crafting conclusions, and helping the team make intelligent data-based decisions. Working closely with cross-functional teams to integrate and validate performance improvements.

Requirements include: 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.

To stand out from the crowd, consider having hands-on experience with performance profiling tools and techniques, previous internship or project experience in software performance optimization at scale, or contributions to open-source projects or participation in coding competitions.

## Skills

### Required
- C/C++
- Python
- Deep Learning frameworks
- Algorithms
- Data structures
- Systems software

### Nice to have
- Performance profiling tools and techniques
- Open-source projects
- Coding competitions

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Software-Performance-at-Scale-Intern---Fall-2026_JR2018701?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
