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System Software Intern, Video Chips - Summer 2027

Nvidia

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What software roles keep asking for: Python (37%), Java (30%), AWS (29%), System design (26%), C++ (25%), CI/CD (23%), Observability (22%), Kubernetes (20%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. Walk me through a system you built. How was it designed, and what would you change now?
  4. Tell me about a hard bug you tracked down. How did you find the cause?
  5. How do you decide what to test, and what does good code review look like to you?

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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. Would you like to join us at the forefront of technological advancement? What you'll be doing: Help craft and develop software features for our video accelerators in GPU. Collaborate closely with software engineers through the whole feature development process. Help develop tools that improve software quality and productivity. Test hardware features for our video accelerators in GPU. What we need to see: Pursuing BS or MS in electrical engineering, computer science, or related field. Excellent C/C++ programming skills. Familiarity with computer system architectures and hardware/software interface layer models. Strong desire to be a problem solver and experience with sophisticated system-level debugging is invaluable. Excellent communication. Ways to stand out from the crowd: Knowledge and experience of firmware development. Familiarity with video compression techniques, such as H.264/HEVC/AV1/AV2, etc. Understanding of Windows and Linux internals. Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

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Listed on workday · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.