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 defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Senior Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking! - Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware. - Demonstrate team architectural concepts with larger NVIDIA AI software stacks. - Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects. - Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a reputable university (or equivalent experience). - Experienced in virtualization, networking and storage. - Proficient in C/C++ over Linux OS Development. - 8+ years of proven experience as a software engineer. - A teammate with a can-do attitude, high energy and excellent interpersonal skills. - Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. - Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents). - Experience in Kubernetes. - Stellar communication skills. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!