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Perf Engineering Intern - 2027

NVIDIA Corporation

China, ShanghaiPosted Oct 29, 2026
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Skills named in this posting

  • C++
  • Perl
Have you ever wanted to join a groundbreaking company that is crafting the future of the tech industry? Are you a creative individual with an analytical attitude and a real passion for technology? If this sounds like you then we want to hear from you. We are looking for a dedicated team member to be part of our Performance Lab team to build and improve the work class lab. What you’ll be doing: • Candidate will create, tune, run and analyze graphics and systems benchmarks on PCs, workstations and laptops. Tasks may include some scripting to automate current test processes and benchmarks for improved efficiency. • Candidate may also need to configure computer systems with appropriate hardware and software to run benchmarks on various systems. They would run benchmarks on these systems. • Candidate would analyze results from benchmark runs and create reports to position NVIDIA products appropriately using their evaluation. What we need to see: • Pursuing BS in Computer Science or similar computer discipline • Working knowledge of all Windows operating systems • Linux and Windows knowledge. • Good knowledge of PC systems and components. • Good organizational, time management and task prioritization skills. Ways to stand out from the crowd: • Knowledge of C, C++, Perl, OpenGL, Direct X and D3D. • Good knowledge of NVIDIA Products. • Familiarity with Linux is a plus. • Background with Android application is a plus. • Familiar with Physical AI is a plus. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

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Original posting: jobs.nvidia.com

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RISC-V ecosystem

NVIDIA Corporation in the RISC-V ecosystem

RISC-V International: Premier Board

Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.

  • NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
  • Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
  • Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage

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