Nvidia

Software Performance at Scale Intern - Fall 2026

US, CA, Santa Clara

Found: Today

This role is based in Santa Clara, CA.

Compensation:

$20 - $71/hour

Responsibilities:

  • Collaborate with engineers to develop, evaluate, and optimize software performance in large GPU clusters.
  • Analyze large scale workloads for application and infrastructure improvements.
  • Research and analyze data to identify trends and support data-driven decisions.
  • Work with cross-functional teams to validate performance improvements.

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.
  • Knowledge of algorithms, data structures, and systems software.
  • Experience with Deep Learning frameworks.
  • Exposure to high performance or large-scale computing environments.

Preferred Qualifications:

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

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