SWQA Test Development Intern, GPU Communications Libraries - 2027

NVIDIA is hiring an SWQA Test Development Intern, GPU Communications Libraries - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Python, Shell and CUDA among its tools and skills.
Level classes it as an internship.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Software QA test development intern responsible for validating and automating tests for GPU communications libraries.

pythonshellcuda

software-testingtest-automationgpuncclhpc

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

How we rate this

SWQA Test Development Intern, GPU Communications Libraries - 2027 at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

SWQA Test Development Intern, GPU Communications Libraries - 2027 is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in China, Shanghai.
The job was posted on August 20, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software TestingTest AutomationGPUNcclHpcPythonShellCUDA

Questions you could be asked

Tell me about a project where software testing was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where gpu was part of your work. What did you do?
Tell me about a project where nccl was part of your work. What did you do?
Tell me about a project where hpc was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Software Testing, Test Automation, GPU, Nccl, and Hpc. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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