Performance Software Engineering Intern - 2025

1 Month ago • Upto 1 Years • Research & Development

Job Summary

Job Description

NVIDIA seeks a highly motivated Performance Software Engineering Intern for 2025. Responsibilities include evaluating performance bottlenecks in deep learning applications, generating performance metrics using industry standards, creating micro-benchmarks for cloud and bare-metal environments, debugging performance issues in the I/O stack, and collaborating with other engineers to optimize deep learning frameworks on GPU-accelerated systems. The intern will work on improving performance across the entire deep learning application stack and will contribute to the team's overall goals.
Must have:
  • Pursuing degree in Electrical Engineering or Computer Science
  • Experience with performance analysis tools
  • Excellent communication skills
  • Ability to work in a dynamic environment
Perks:
  • Competitive salaries
  • Generous benefits package

Job Details

We are now looking for a highly motivated Performance Software Engineer to join this dynamic and innovative team. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

What you’ll be doing:

  • Evaluate performance bottlenecks and come up with ways to improve performance in the whole deep learning-based application stack

  • Generate consistent performance metrics based on industry standards and develop frameworks, needed scripts for collecting and reporting the metrics.

  • Work actively on creating micro benchmarks for performance evaluation in cloud and bare metal environment.

  • Debugging various issues related to performance and recommend optimization in I/O stack.

  • Work closely with other software engineers to evaluate performance of deep learning frameworks on GPU accelerated systems.

  • Work collaboratively with other specialists and be willing to tackle any engineering tasks that commit to the progress towards the goals of the team and the company.

What we need to see:

  • Pursuing Bachelor/Master/PhD of Science Degree in Electrical Engineering or Computer Science.

  • Experience with tools for performance analysis.

  • Excellent communication skills. Ability to work in dynamic environment and can-do attitude.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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