Job Information
Nvidia Senior SWQA Test Development Engineer - GPU Communications Libraries in Shanghai, China
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).
Automate test cases and maintain the automation scripts.
Collaborate with Developer, PM, marketing, and engineering teams on crafting test plan and implementing validation.
You will assist in the architecture, crafting and implementing of SWQA test frameworks.
Be responsible for code coverage improvement and code complexity optimization
What we need to see:
BS or higher degree in CS/EE/CE or equivalent experience
5+ years of relevant experience
Seasoned software QA or software testing background; test infrastructure and strong analysis skills
Be proficient in scripting language (Python, Perl, bash)
Knowledge of basic networking concepts
UNIX/Linux experience is required
Experiences in C is required
Ability to work independently and leadership skills
Experienced in using quality mindset to drive improvements.
Proficient oral and written English
Ways to stand out from the crowd:
Experience with CUDA programming and NVIDIA GPUs.
C++ programming is a plus
Knowledge of high-performance networks like InfiniBand, iWARP etc
Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc
Experience with CSPs like AWS, Google Cloud, Oracle Cloud Infrastructure, Microsoft Azure, etc
NVIDIA is a Learning Machine
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.
Learn more about NVIDIA .