SWQA Test Development Intern, GPU Communications Libraries - 2027
At a glance
Entry-level Communications role at NVIDIA. China, Shanghai · full-time.
Pay not stated Communications salary
Growth Roles summary, based on the employer's posting.
What you'll do
- Run validation scenarios for GPU communication libraries including NCCL, NVSHMEM, UCX, GDRCopy, and GPUDirect RDMA
- Turn test cases into automation and keep the resulting scripts working
- Build test plans with developers, product managers, marketing, and engineering partners
- Apply testing judgment while investigating software behavior and validation results
What you bring
- You are pursuing a master's degree or above in computer science, electrical engineering, or computer engineering
- You can use AI development tools to design tests and automate them, with Linux experience
- You write Shell or Python and bring software-testing knowledge with sound QA judgment
- You communicate fluently in spoken and written English and solve problems effectively
Who this fits
This role suits a graduate student who wants hands-on QA work around GPU communication software and can commit five days each week for twelve months. Experience with C or C++, CUDA, NVIDIA GPUs, high-performance networks, or AI-led QA workflows would strengthen your fit. The position calls for a proactive, self-directed learner with strong interpersonal skills.
From the employer
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you’ll be doing:
Be responsible for running test cases to validate NVIDIA GPU Communications Libraries (NCCL, NVSHMEM, UCX, GDRCopy, GPUDirect RDMA etc).
Be responsible to automate test cases and maintain the automation scripts.
Collaborate with Developer, PM, marketing, and engineering teams on crafting test plan and implementing validation.
What we need to see:
Currently pursuing a MS or higher degree in CS/EE/CE
Good experience using AI development tools to design and automate tests
Experience with Linux OS
Good at Shell/Python programming skills
Fluent oral and written English
Good QA sense, knowledge, and experience in software testing
Great problem-solving skills with strong interpersonal skills, quick learner, proactive, innovative, and committed
Strongly self-motivated with a passion to learn new hardcore technology
Able to work 5 days every week with 12 months available
Ways to stand out from the crowd:
Experience building AI-driven solutions that improve efficiency and enhance end-to-end QA workflows
Experiences in C/C++ programming and debug skills
Experience with CUDA programming and NVIDIA GPUs
Knowledge of high-performance networks like InfiniBand, RoCE, etc
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