Shoreline Backend Engineering Intern - Fall 2025

1 Week ago • Upto 1 Years • Backend Development

Job Summary

Job Description

NVIDIA seeks a Shoreline Backend Engineering Intern to develop and improve a platform automating GPU/CPU cluster diagnosis and repair across various cloud and hardware environments. Responsibilities include implementing new features and bug fixes for this distributed platform, ensuring high quality, performance, stability, and minimal resource consumption. The intern will contribute to impactful projects within a team focused on scalable backend subsystems.
Must have:
  • Pursuing Bachelor's or Master's in CS or related field
  • Proficiency in C/C++, Java, Rust, or Go
  • Strong grasp of algorithms and data structures
  • Implementing new features/bug fixes
  • Delivering high-quality projects
Good to have:
  • Understanding of multi-threading and distributed systems
  • SQL query optimization skills
  • Knowledge of Rust programming
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!

We are looking for a Software Engineering Intern with a keen interest in developing scalable backend subsystems to join our team. We are building and improving a powerful platform that will automate diagnosis and repair of a cluster of GPUs or CPUs across public clouds, private clouds and virtual and physical hardware.

What you'll be doing:

  • Implementing new features/bug fixes for a distributed platform that automates diagnosis and repair of a cluster of GPUs or CPU

  • Delivering high impact projects with high quality, performance, and stability with the lowest resource consumption

What we need to see:

  • Pursuing Bachelor’s or master’s degree in computer science, Engineering, or a related field

  • Proficiency in programming in any one of these languages C/C++, Java, Rust or Go.

  • Strong grasp of algorithms and data structures

  • Drive to excel

Ways to stand out from the crowd:

  • Good understanding of multi-threading and distributed systems concepts

  • Familiarity in optimizing SQL queries

  • Knowledge of Rust programming

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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