Join a pioneering team developing custom silicon solutions that are integral to Google's direct-to-consumer products. This role offers the opportunity to innovate behind products used by millions globally. Your expertise will be crucial in shaping next-generation hardware, focusing on superior performance, efficiency, and integration.

The AI and Infrastructure team is at the forefront of innovation, empowering Google customers with advanced capabilities and insights through AI and Infrastructure delivered at an unmatched scale, efficiency, and reliability. Our reach extends to Googlers, Google Cloud clients, and billions of users worldwide.

We are the driving force behind Google's transformative innovations. Our work supports the development of cutting-edge AI models, provides immense computing power for global services, and builds essential platforms for developers. From software to hardware, our teams are defining the future of hyperscale computing, with significant contributions to TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, and systems research.

Define and implement advanced physical design STA methodologies, taking full ownership of STA for design partitions or the top level.

Drive the closure of timing and power consumption for complex designs.

Contribute to design methodology improvements, library development, and code reviews.

Establish comprehensive physical design STA constraints rule sets for the engineering team.

A Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field is required, alongside equivalent practical experience.

Four years of experience in coding or scripting languages such as Python or Tcl are essential.

Demonstrate four years of experience in physical design flows and methodologies, with a strong emphasis on static timing analysis (STA).

Previous experience with ECO flows is necessary.

Proficiency in high-speed design timing convergence and experience with static timing analysis tools like PrimeTime or Tempus are required.