המקום בו המומחים והחברות הטובות ביותר נפגשים
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)
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
משרות נוספות שיכולות לעניין אותך