Software at Scale Intern - Fall

About the Role

We are seeking a Software Performance at Scale Intern to work with engineering teams on accelerating software on large GPU clusters in Santa Clara, CA.

• Collaborate with engineers to develop, evaluate, and optimize software performance in large GPU clusters.
• Analyze large‐scale workloads to identify opportunities for application and infrastructure improvements.
• Research and analyze data to identify trends, link changes to recorded events, craft conclusions, and support data‑driven decision making.
• Work closely with cross‑functional teams to integrate and validate performance improvements.

• 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 with deep learning frameworks.
• Exposure to high‑performance or large‑scale computing environments.

• 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.

Competitive hourly rate of $20–$71 and internship benefits, plus a comprehensive benefits package.

NVIDIA is an equal‑opportunity employer committed to fostering a diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law.