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Jobs / Software Engineer in United States of America
1 month ago
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Google·SaaS·1 month ago
1 month ago

Static Timing Analysis Engineer, Full Chip STA

Mountain View, United States of AmericaFull-timeSenior · 8+ years

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About this role

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.

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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Be responsible for delivering system-on-chip (SoC) Static Timing Analysis (STA).
  • Define SoC timing signoff process corners, derates, uncertainties and their tradeoffs.
  • Drive clock tree Jitter and implementation for SoCs to achieve best energy, performance and area.
  • Manage full chip timing constraint validation, timing signoff checklist criteria, perform full chip STA, timing ECO creation and oversee final timing signoff for SoC’s.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience.
  • 8 years of technical experience in silicon timing closure and chip integration.
  • Experience in one or more static timing tools (e.g., PrimeTime, Tempus).
  • Experience with STA signoff constraint authoring for full-chip level, tapeout signoff requirements, checklists, and associated automation.
  • Experience delivering silicon.

Preferred qualifications:

  • Master's degree in Electrical Engineering, Computer Science, or a related field.
  • Experience in extraction of design parameters, QoR metrics, and analyzing data trends.
  • Experience with ASIC design flows and methodology of static timing analysis.
  • Knowledge of semiconductor device physics and transistor characteristics.
  • Ability to deliver high complexity silicon in technology process nodes.
  • Effective skills with scripting languages such as Tcl or Perl.
SaaSH1B sponsor likely
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