
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 Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, big data, and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. * Yield analysis monitoring and continuous improvement for mass production lines. * Troubleshooting and full root cause analysis for production matters. * Maintain products’ quality by improving test stability, coverage, design, and manufacturing process. * Driving task forces for product failure analysis. * B.Sc. in Electrical Engineering. * 8+ years of Experience * Experience in product engineering, failure analysis/debug or HW/test/system design. * Hands-on HW debug experience. * Strong problem-solving ability. * Experience with monitoring production lines analysis. * Excellent interpersonal and communication skills in English. * Background with test design and HW lab equipment. * Experience with data/yield analysis. * Experience with JMP and/or other data analysis tools. * Experience working with a manufacturing environment. * Basic programming knowledge (C, Perl, Python) in Linux environment. JR1997709