Senior Silicon Validation Engineer, Volume Production and Yield

Google · New Taipei, Banqiao District, New Taipei City, Taiwan

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.

We are seeking a highly motivated and experienced Silicon Engineer to drive our Volume Production and Yield efforts.

In this pivotal role, you will be the primary technical owner for the transition of our silicon designs into high-volume factory manufacturing, delivering screening packages to factory partners and driving continuous silicon yield monitoring, failure analysis, voltage margin characterization, and improvement across the product lifecycle. You will leverage AI-driven data analytics and machine learning techniques to optimize yield, accelerate failure debug, and enhance overall silicon quality.

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.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of experience in silicon development, including post-silicon validation, product engineering, test engineering, or yield analysis.
  • Experience leading a technical project or sub-team.
  • Experience with embedded systems, firmware, or core software development environments (e.g., C, Python).
  • Experience with semiconductor manufacturing methodologies, silicon test processes (e.g., ATE, SLT), and fault isolation techniques.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with delivering technical impact to launch silicon products into high volume manufacturing pipelines.
  • Experience with the failure analysis and debug of complex Systems on Chip (SoCs).
  • Experience with a broad range of compute platforms and SoCs (e.g., dedicated mobile or specialized AI processors).
  • Experience applying AI/ML models, statistical methods, and data analysis for silicon yield optimization.
  • Excellent problem-solving, people management, and written and verbal communication skills.
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