Static Timing Analysis Engineer, Full-Chip STA

About the job

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: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google . Responsibilities

Deliver system-on-chip (SoC) Static Timing Analysis.

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.

Execute full chip timing constraint validation and timing signoff checklist criteria, perform full chip Static Timing Analysis (STA) and timing Engineering Change Order (ECO) creation, and oversee final timing signoff for SoCs.

Qualifications

• Minimum qualifications:

• Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience.

• 4 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 Static Timing Analysis (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.

• Experience in extraction of design parameters, QoR metrics, and analyzing data trends.

• Experience with ASIC design flows and methodology of static timing analysis.

• Delivery of high-complexity silicon in state-of-the-art technology process nodes.

• Knowledge of semiconductor device physics and transistor characteristics.

• Effective skills with scripting languages such as Tcl or Perl.