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 looking for an excellent NPI System Product Engineer! 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. - Conducting yield analysis monitoring and continues improvement for NPI and mass production lines. - Performing troubleshooting and comprehensive root cause analysis for production issues to ensure flawless operations. - Maintaining product quality by improving test stability, coverage, and the design and manufacturing process. - Collaborating with cross-functional teams to successfully implement new product introductions and improvements. - B.Sc. in Electrical Engineering. - 4+ years of relevant experience in product engineering, failure analysis/debug, or HW/test design. - Proven hands-on experience in HW debugging. - Strong problem-solving abilities with a diligent approach. - Outstanding interpersonal and communication skills in English. - Ability to thrive in a collaborative and dynamic environment. - Demonstrated experience with data/yield analysis. - Background in test design and HW lab equipment. - Experience working within a manufacturing environment. - Basic programming knowledge (C, Perl, Python) in a Linux environment. NVIDIA has some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.