Senior CPU CAD Methodology Engineer, Silicon
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Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
- 8 years of experience in developing high-performance, low-power design methodology or CAD flows in synthesis and implementation areas.
- Experience in writing production scripts for implementation and sign-off tools.
Preferred qualifications:
- Experience in evaluating multiple vendor solutions and driving tool decisions.
- Experience in advanced technology nodes.
- Knowledge of computer architecture and technology nodes across foundries.
- Ability to deliver metric driven Performance, Power, Area (PPA) flow development and support.
About the job
Be part of a diverse 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.
In this role, you will be responsible for developing design methodology and CAD flows for the next generation CPU. You will contribute to the implementation flows leveraging industry tools. You will collaborate with infrastructure, physical design, technology and Electronic Design Automation (EDA) partners closely to implement the next generation processor flows to achieve Performance, Power and Area (PPA) metrics.
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.
Responsibilities
- Develop industry leading high-performance and low-power complex design flows for advanced CPUs.
- Collaborate with the cross-functional teams to develop efficient flows, tools and features.
- Perform technical evaluations of vendors, process nodes and IP, and provide recommendations.
- Create flow specification and documentation. Support and train execution teams based on developed tools and flows.
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