Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Founded: 1993
Headcount (approx.): 42,295
Core focus: GPUs, AI computing platforms, systems, and software
Notable software: CUDA, Omniverse
High-performance computing, AI infrastructure, graphics rendering, networking for data centers, and industrial/autonomous systems.
1993
Semiconductors / AI compute / Software platforms
$2 billion
Investment in CoreWeave to expand AI compute capacity.
$5 billion
Purchase of an equity stake in Intel as part of a collaboration.
$500 million - $1 billion (reported)
Reported investment in Poolside as part of a larger funding round.
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. * 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. * 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 skills as well as e xperience in using quality mindset to drive improvements * Proficient oral and written English * 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), and HPC 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 JR1999943