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Google is seeking a Static Timing Engineer for its chip implementation team in Sunnyvale. You will contribute to the physical implementation of ASICs, developing timing constraints, automation scripts, and performing timing closure for high-performance compute ASICs.
You will collaborate with architecture, logic design, and DFT teams, and evaluate vendors/tools to improve STA methodologies. Competitive compensation includes equity and benefits. Individual pay reflects skills and experience.
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 a Static Timing Engineer on the chip implementation team, you will work on the physical implementation of ASICs using advanced technology nodes. You will work on 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. You will perform technical evaluations of vendors, tools, methodologies, and will provide recommendations. Additionally, you will work with architecture, logic design, and DFT teams to understand and implement their 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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].