Silicon CAD Engineer II

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.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Develop, test, and maintain automation scripts and software tools using Python and C++ to enhance VLSI design and CAD environment efficiency.
  
• Assist executive CAD engineers in integrating and supporting commercial Electronic Design Automation (EDA) tools within the CI2 design flow.
  
• Collaborate with design and verification teams to debug and resolve tool and flow issues, contributing to productivity improvements.
  
• Contribute to documentation, standardization, and version control (e.g., Git) practices for CAD tools and methodologies.
  

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, a related technical field, or equivalent practical experience.
• 1 year of industry experience in semiconductor CAD/automation or internship experience.
• Experience with coding and software development in Python or C++.
• Experience with version control systems, Linux/Unix operating systems, and shell scripting.
• Experience with standard VLSI design concepts and flows.

Preferred qualifications:

• Master's degree in Electrical Engineering, Computer Engineering or Computer Science or a related field.
  
• Working experience in advanced technology nodes.