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Define procedures to facilitate correlation activities between production testing infrastructure and internal diagnostic programs
Create key performance indicators used to evaluate the effectiveness of the new tests
Drive process and procedure enhancement for future productization including lesson learnings for future bring up tasks.
Define and implement system level test solutions for all product segments.
Work closely with other HW engineering teams such as silicondesign/characterization
Craft creative solutions and workarounds through volume data analysis and lab experimentation to solve challenging yield and test problems seen in production.
Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.
Define requirements to SW and board teams to support/improve test infrastructure, debug knobs and data collection features needed to support manufacturing screens effectively.
Support internal teams during customer escalations to understand the issue and fix gaps identified in coverage.
Bachelor’s or Master’s Degree or equivalent inMicroelectronics/Electrical/Electronic/ComputerEngineering or requivalent experience.
8+ years of experience in a Silicon and System Validation or related hardware engineering position.
Knowledgeable in ATE, System Level, Board Level testing and debug methodologies and coordinate various aspects pertaining to manufacturing and production of NVIDIA products
Strong data analytics skills. Prior experience working with volume data is a plus.
Excellent problem solving, collaborative, and interpersonal skills.
Knowledgeable in DFT architecture, BIST, fault models and fault detection methods, HTOL experience.
Hands-on experience with silicon bring-up, Frequency and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ etc).
Strong EE fundamentals, knowledgeable in digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.
Experience in critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and ageing mechanisms.
Experience with Perl, C/C++, Python and script development, Windows and Linux OS is a plus.
Knowledgeable in scripting, statistics, timing analysis, fault analysis, sampling, computer architecture.
Deep understanding of technology and passionate about what you do
Familiarity with statistical methods and tools for data analysis
Strong collaborative and communication skills, specifically a shown ability to effectively guide and influence within a dynamic environment
Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high energy environment
You will also be eligible for equity and .
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