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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.
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)
Solid experience with AI development tools for test development and automation
Knowledge of basic networking concepts
UNIX/Linux experience is required
Experiences in C/C++ is required
Ability to work independently and leadership skillsas well as experience 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
Knowledge of high-performance networks like InfiniBand, RoCE,etc
Experience with CSPs(AWS, Google Cloud, Oracle Cloud Infrastructure, Microsoft Azure), andHPC cluster,slurm, ansible, etc
Prior experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Docker, Kubernetes)
Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, etc
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