Live opening · Posted 7 hours ago

Physical Design and Implementation Engineer

Google · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyGoogle
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
ListedPosted 7 hours ago

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About the role

Description supplied by the original job listing.

In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
4 years of experience in physical design.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience in high performance designs (CPUs , GPUs etc.).
Experience with advanced power optimization techniques.
Participated in 3 or more chip tape outs.
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.
As a 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 physical design engineer in the CPU implementation team, you will own block or subsystem implementation of complex logic blocks with special focus on optimizing power, performance and area. The role involves working closely with the RTL , DFT and Foundation IP teams to improve PPA. You will deploy AI workflows to improve productivity, time to market and PPA.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Develop all aspects of ASIC RTL2GDS implementation for the central processing unit (CPU) for the Tensor SOC.
Signoff convergence including static timing analysis (STA), physical design verification (PDV), IR and Electo-Migration (EM).
Manage block and subsystem level physical implementation and QoR (power, timing, area).
Optimize power, performance and area (PPA) to achieve exceptional performance and cost.
Reduce time to market and improve PPA through deployment of Artificial Intelligence (AI) physical design tools and workflows.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Work arrangement
No

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