Physical Design and Implementation Engineer

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.

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.