Physical Design Lead, Static Timing Analysis

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
ASIC (Application Specific Integrated Circuit), Artificial Intelligence (AI), Cloud Applications, Cloud Computing, Computer Architecture, Computer Engineering, Computer Science, Computer Security, Construction, Consulting, Cross-Functional, Crosstalk, DFT (Design for Test), Data Analysis, Design Verification, Develop Methodologies, Documentation, Electrical Engineering, Electronic Design Automation, Engineering Change Order, English Language, Equal Employment Opportunity (EEO), Financial Services, Genetics, German Language, Google Apps, Government, Graphic Design, Industry Standards, Leadership, Logic Design, Network Operations Center, Operations Management, Operations Research, Physics, Problem Solving Skills, Product Management, Project/Program Management, RTL Design, Recruiting/Staffing Agency, Regulatory Requirements, Requirements Management, Retail, SPICE (Simulation Program with Integrated Circuit Emphasis), Sales Management, Scripting (Scripting Languages), Semiconductors, Static Analysis, Static Timing Tools, Stock Purchase Plans, Tcl-Tk, Technical Leadership, Technical Support, Technical/Engineering Design, Time Management, Timing Verification, Trend Analysis
LOCATION
Sunnyvale, CA
POSTED
21 days ago

Physical Design Lead, Static Timing Analysis - Google Careers

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Physical Design Lead, Static Timing Analysis

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

  • Bachelor"s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

  • 10 years of experience in static timing analysis (STA), including 5 years of experience in a technical leadership capacity.

  • Experience achieving full-chip timing convergence and authoring, reviewing, or validating timing constraints (e.g., Synopsys Design Constraints (SDC)).

  • Experience analyzing cross-chip clock distribution networks.

  • Experience using electronic design automation (EDA) tools (e.g., PrimeTime, Tempus, Timevision, or STAR-RC).

  • Experience using tool command language (Tcl) commands for timing analysis, timing closure, parasitic extraction, noise glitch, or crosstalk.

Preferred qualifications:

  • Master"s degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

  • 12 years of experience in the domain of static timing analysis and 5 years of experience in leading STA activities for SOC.

  • Experience leading physical design or STA flow/methodology to successful tape-outs and shipping silicon.

  • Experience analyzing data trends, semiconductor device physics, SPICE simulation, and full-chip static timing topics.

  • Exceptional track record of on-time STA sign-off and delivery within physical design execution cycles.

  • Drove full-chip timing convergence, timing constraint validation, and complex timing ECO implementation and sign-off.

About the job

In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google"s most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google"s TPU. You"ll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will drive Static Timing Analysis (STA) in the physical implementation of Application-specific integrated circuits (ASIC) using advanced technology nodes. You will lead timing margin derivation, constraint development and validation, and timing closure of large, complex high performance compute ASICs. You will develop static timing methodologies, margins, automation scripts, and write documentation. Additionally, you will work with architecture, logic design, and Design for testing (DFT) teams to fully implement cross-functional design requirements.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Lead effort for timing constraint creation and validation, timing analysis and timing Engineering Change Order (ECO) creation, and final timing sign-off for complex ASICs.

  • Drive both static timing analysis methodology development and support, as well as chip implementation and timing signoff execution.

  • Develop, support and execute implementation flows around industry-standard static timing and parasitic extraction tools.

  • Interface with the broader team to triage and resolve reported technical issues, escalating complex tool-related problems to Electronic Design Automation (EDA) vendors and deliver timely and effective solutions.

  • Lead collaboration with RTL design and DFT team for high quality integrations and timing constraints.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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