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Google is seeking a Silicon Failure Analysis Lead to drive end-to-end FA for SoCs used in mobile devices and laptops. You will lead cross-functional teams across Design, Product, Test, Process Technology, Yield and Reliability to identify root causes and implement robust, cost-effective solutions.
You will integrate SoC technologies into products, supervise ATE/DFT-based diagnostics, collaborate with foundries and OSATs, and guide DFY practices to improve yield, reliability and field performance.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As Silicon Failure Analysis Lead, you will help integrate SOC technologies into mobile phones, tablets and laptops. You will work with different product disciplines (Design, Product, Test, Process Technology, Yield, Quality and Reliability) to accurately determine the root cause of failures, with the aim of developing advanced, high quality, cost effective and reliable Individual Contributor (ICs).
The Failure Analysis (FA) lead will be responsible for all aspects of failure analysis with respect to Silicon Quality and Reliability Engineering activities, engaging in debug activities from the silicon to the entire package. As a technical leader, you will collaborate with cross-functional teams to drive end-to-end Failure Analysis for yield, reliability and field failures. You will have experience in all aspects of failure analysis: ATE and system level testing, diagnostics, Design for Test (ATPG/MBIST), curve tracing, non-destructive analysis (3D X-ray, CSAM, optical inspection), sample preparation, Electrical FA (Photon/Thermal Emission and Laser-based techniques) and Physical Failure Analysis.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.