锦鲤求职锦鲤求职

英伟达

SWQA Test Development Intern, GPU Communications Libraries - 2027

让 AI 辅助填写这个岗位的官网网申

使用同一份求职档案填写教育、实习与项目经历;登录、验证码和缺失信息由你处理,最终提交前请本人核对确认。

当前公开岗位库收录 英伟达 110 个在招实习岗位。岗位数量与状态以企业官网为准。

也可以勾选下方同企业岗位,一起准备网申 →

是否提交成功以企业官网回执或申请记录为准。

岗位描述

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

测试方向的申请准备

先核对岗位要求与自己的经历,再准备档案、投递和面试。

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