Product Development Engineer -- Post-Si Characterization

As one of the technology industry's most desirable employers, NVIDIA is an industry leader in high performance computing, gaming and AI. NVIDIA's GPUs are extraordinary in performance and efficiency, and we are continually innovating in creative ways to deliver outstanding solutions in a wide range of sectors. We are seeking Product Development Engineers who are experienced, creative problem solvers in various areas and passionate to want to make a visible impact with the work they do. As part of the Operations Product Development Engineering GPU Team, you will work on productizing NVIDIA’s chips into consumer, professional and datacenter markets.

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  As an integral part of product engineering, you will drive our latest architecture designs to market.

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  Pioneer modern ATE test methodologies for next-generation GPU circuits, advanced silicon technologies, and innovative assembly processes -- partner directly with feature designers to build success criteria that drive product excellence from concept to silicon.

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  Identify and resolve yield bottlenecks, analyze and drive test failures, wafer & package level failures on Automatic Test Equipment (ATE).

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  Propose DOEs and come up with solutions to complex characterization problems.

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  Multi-functionally lead efforts to build solutions with foundry, DFT, test, Planning and quality to root-cause and solve technical problems.

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  Play a pivotal role in influencing next-generation ASIC designs and silicon solutions—improving circuit quality and testability at the architecture level to accelerate qualification, cut test times, and deliver faster, smoother silicon releases.

• Bachelor or Master's degree in Electrical Engineering or equivalent experience.

• 5+ years of Product development engineering or relevant experience.

• Attention to details, strong problem solving skills, data driven decisions, critical thinking & solution focused.

• Experience with digital design, circuit analysis, characterization and qualification.

• Knowledgeable in ATE test flows, DFT and device physics.

• Proficient in statistical data analysis using JMP software or other analytic tools.

• Strong interpersonal communication skills and cross-functional collaboration.

• Ability to define and drive problems to closure independently with minimal supervision.

• Hands-on skills with Advantest 93K tester with SMT7 or SMT8 OS.

• Knowledge of test time and DPPM reduction.

• Experience with logic or SRAM and Voltage/Frequency characterization.

• With DFT (design for test) background and be familiar with ATE test principles.

• Examples of creative solutions to silicon or package problems with familiarity with automation or AI tools.

With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.