NVIDIA is seeking a Software Performance at Scale Intern to join their team in Santa Clara, CA. This role focuses on optimizing software performance in large GPU clusters while collaborating with a world-class engineering team. Interns will work with cutting-edge Accelerated Computing and Deep Learning technologies in an inclusive and innovative environment. The position offers a unique opportunity to make a significant impact on the future of AI and computing.

• 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.

• Collaborate with engineers to develop, evaluate, and optimize software performance in large GPU clusters.
• Analyze large scale workloads and search for application and infrastructure improvement opportunities.
• Research and analyze data, identify trends of interest, and link changes to recorded events.
• Craft conclusions and help the team make intelligent data-based decisions.
• Work closely with cross-functional teams to integrate and validate performance improvements.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.