NVIDIA Networking division is looking for an excellent 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.
The System product engineer is responsible for stabilizing hardware products from the first build unit through ramp-up and transition to high-volume mass production. This role plays a critical part in ensuring product quality, yield, and test robustness for NVIDIA’s cutting-edge platforms by leading debug infrastructure development, systematic failure analysis, and data-driven continuous improvement across the NPI lifecycle.
What you'll be doing
Own end-to-end product stabilization from first article to production release.
Develop and maintain hardware debug infrastructures, tools, and methodologies to support efficient root cause analysis.
Monitor, analyze, and improve yield performance during NPI.
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Perform deep-dive failure analysis and root cause investigations to improve product robustness, quality, and throughput.
Improve test stability, coverage, and repeatability while reducing false failures.
Collaborate closely with Mechanical NPI engineers, Test Development teams, R&D, and manufacturing partners.
Apply data analysis techniques to identify systemic issues, trends, and optimization opportunities.
What we need to see
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.
Ways to stand out from the crowd
Background with test design and HW lab equipment.
Experience with data/yield analysis.
Background with JMP and/or other data analysis tools.
Experience working with a manufacturing environment.
Basic programming knowledge (C, Perl, Python) in 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.
