Description
As a Product Development Engineer at NVIDIA, you will be part of the Operations Product Development Engineering GPU Team, working on productizing NVIDIA's chips into consumer, professional and datacenter markets.
Your primary responsibilities will include leading failure analysis of ATE-related escapes, identifying systematic discrepancies between ATE, SLT and BLT results, and partnering with Design, DFX, Test Engineering, Hardware, PQE, and SQE teams to improve testability and outgoing quality.
You will also drive cross-functional forums to track end-to-end fallout across NVIDIA manufacturing, define and build AI/data-analytics-driven workflows to identify yield limiters, fallout signatures, systematic escapes, and early indicators of customer-quality risk.
To succeed in this role, you will need a BS degree in electrical engineering or equivalent experience, 8+ years of work experience, and experience with product verification and failure analysis on Verigy 93K tester.
Strong data engineering skills, including proficiency in Python, C or C++, and statistical modeling of data using JMP software or other tools for data analysis, are also essential.
Additionally, you will need solid communication and presentation skills, as well as solid interpersonal skills and a track record as a strong collaborator.
If you have direct working experience on using AI platforms for data analytics, direct working experience on improving system and board level yields by enhancing ATE structural test coverage, or a 'got-getter, can get it done' attitude and independent 'out-of-box' thinking, you will stand out from the crowd.
NVIDIA is widely considered to be one of the technology world's most desirable employers, and you will be eligible for equity and benefits.