NVIDIA · 3 days ago
Senior Failure Analysis Engineer
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Artificial Intelligence (AI)GPU
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Responsibilities
Perform and coordinate both Electrical and Physical Failure Analysis efforts to assist in product development, design debug, yield improvement, final test, quality, reliability, and customer returns on various NVIDIA products, including semiconductor ICs, boards, and systems.
Utilize advanced EFA principles and operate EFA tools such as Curve Tracer, Emission-based analytical tools, Laser Scanning Microscopy, and imaging tools (3D Xray, CSAM, etc.) for fault isolation and analysis.
Communicate effectively EFA fault isolation findings and provide timely assistance to PFA teams (in-house or foundry and assembly partners) to root cause the problems.
Collaborate closely with Product Engineering and Test Engineering teams to verify and duplicate failures modes of failures that are reported on ATE, SLT, and appropriate test setups.
Drive continuous improvement initiatives to enhance production test program quality and efficiency.
Actively participate in cross-functional teams to efficiently debug product failures and implement optimal solutions.
Write and maintain scripts and tools for the test engineering groups to enhance overall productivity and effectiveness.
Qualification
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Required
Master's degree or higher in electronics or related engineering fields (or equivalent experience).
8-10 years of relevant experience in Failure Analysis or related fields.
Proficiency in basic electrical engineering and testing, transistor device physics, silicon device physical failure analysis, advanced CMOS manufacturing/processes, circuit analysis, and automated test equipment (ATE).
Ability to understand and/or operate Physical Failure Analysis tools for silicon inspection, cross-section, delayering, material analysis (Scanning Electron Microscope, Focused Ion Beam, Nanoprobing, etc.) is a plus.
Strong written and verbal communication skills, with the ability to participate effectively in dynamic teams.
Preferred
Demonstrate proficiency in advanced backside analysis techniques and use of state-of-the-art analytical instruments.
Showcase experience in analog circuit design, PLLs, and system-level testing/validation.
Highlight knowledge of active thermal management and product engineering experience, such as yield analysis and defect analysis.
Display familiarity with Linux operating systems/shell scripting and programming languages such as Python/Perl and/or C/C++.
Benefits
Equity
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2017-05-24Post Ipo Equity· $4B
Recent News
2024-06-06
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