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.

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

• Collaborate with cross-functional teams to debug failures (e.g., boards, software, manufacturing, design, thermal issues, etc.).

• Maintain and support automation scripts for backend CAD flows to ensure efficiency.

• Contribute to software development for internal CAD tools and automation infrastructure.

• Assist in evaluating new EDA tools, specifically for 3DIC flow development efforts.

• Contribute to software development for internal CAD tools and automation infrastructure.

Minimum qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.

• 3 years of experience with Computer Aided Design (CAD) tools and flows and electronic design automation (EDA) tools and methodologies.

• Experience with physical design flow such as floor planning, place and route, or physical verification.

• Experience with Python or C++.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

• Experience in advanced technology nodes.

• Experience with 3DIC technology or advanced packaging methodologies.

• Familiarity with flow development involving Integrity 3DIC or Synopsys 3DIC compilers.