Senior Silicon Physical Design Engineer, Google Cloud

Google Google · Big Tech · Bengaluru, Karnataka, India

This role focuses on the physical design of custom silicon solutions for data center accelerators, specifically for Machine Learning (ML) computation. The engineer will be responsible for defining and implementing physical design methodologies, managing timing and power consumption, and contributing to the overall SoC design cycle. While the silicon accelerates ML, the role itself is in hardware engineering, not AI/ML model development.

What you'd actually do

  1. Define and drive the implementation of physical design methodologies.
  2. Take ownership of one or more physical design partitions or top level.
  3. Manage timing and power consumption of the design.
  4. Contribute to design methodology, libraries, and code review.
  5. Define the physical design related rule sets for the functional design engineers.

Skills

Required

  • Bachelor’s degree in Electrical Engineering or equivalent practical experience.
  • 5 years of experience with advanced design, including clock/voltage domain crossing, Design for Testing (DFT), and low power designs.
  • Experience with System on a Chip (SoC) cycles.
  • Experience in high-performance, high-frequency, and low-power designs.

Nice to have

  • Master’s degree in Electrical Engineering.
  • Experience in coding with System Verilog and scripting with Tool Command Language (TCL).
  • Experience in VLSI design in SoC or experience with multiple-cycles of SoC in ASIC design.
  • Experience in coding constraints and scripting with TCL.
  • Experience with Static Timing Analysis (STA) convergence on blocks/Subsystem (SS)/SoC