Physical Design Flow and Methodology Engineer

Job Description

The role involves shaping the future of AI/ML hardware acceleration and driving cutting-edge TPU technology for Google's demanding AI/ML applications.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
• 5 years of experience with EDA tool workflows in a semiconductor environment
• Experience developing automated physical design workflows from RTL to GDS, utilizing Tcl, Python, or Perl
• Experience with physical design implementation and convergence at the block and subsystem levels

Responsibilities

• Architect and implement next generation Physical Design EDA CAD tool workflows for ASIC development
• Collaborate with chip design teams to implement tools and methodologies for physical design in leading edge process nodes
• Develop auditing tools, checkers, and metric dashboards based on APIs from third-party EDA tools
• Own the physical design of blocks and subsystems end-to-end

Benefits

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.