Software Engineering Intern, AI Storage Infrastructure - Fall 2025

5 Days ago • Upto 1 Years • Research & Development

Job Summary

Job Description

As a Software Engineering Intern at NVIDIA, you'll contribute to cutting-edge AI storage infrastructure. Your work will involve developing high-performance, secure solutions, creating new features for GPU data storage, and optimizing C++/CUDA libraries and algorithms. You'll collaborate with research teams to solve complex engineering challenges, focusing on removing performance bottlenecks in the IO stack, frameworks, and applications. This internship offers the chance to work on industry-first solutions and contribute directly to NVIDIA's advancements in AI.
Must have:
  • BS/MS/PhD in CS or related field
  • Strong C, C++ coding
  • Advanced Computer Architecture knowledge
  • Data structures & algorithms understanding
  • Bash and Python experience
  • Excellent communication skills
Good to have:
  • Experience with Key-Value, File systems, object storage
  • Exceptional CUDA programming skills
  • Outstanding C++ programming skills
Perks:
  • Intern benefits

Job Details

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

What you’ll be doing:

  • Work on first solutions in the industry that bring exceptional performance and security improvements to the infrastructure used by leading applications
  • Develop new features and enable various technologies around data storage for GPU IO
  • Develop sophisticated C++/CUDA libraries and algorithms for speed-of-light performance
  • Remove performance bottlenecks by coming up with optimization(s) in the IO stack, frameworks, and applications
  • Work collaboratively with other specialists including the research teams and be willing to solve complex engineering tasks that progress towards the goals of the team and the company

What we need to see:

  • Pursuing BS or MS or PhD in computer science or a related field
  • Strong coding experience using C, C++
  • Advanced knowledge in Computer Architecture
  • Solid understanding in data structures and algorithms
  • Bash and Python experience
  • Excellent communication and planning skills

Ways to stand out from the crowd:

  • Development experience in storage software such Key-Value, File systems object storage systems
  • Exceptional CUDA programming skills
  • Outstanding C++ programming skills

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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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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