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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 works on the worlds toughest problems, redefining whats possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. Were at the center of amazing work at Google by being the flywheel that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.

In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.


Responsibilities
Develop and optimize the overall layout of the chip, including partitioning, macro and IP placement, and pin placement.
Design and implement efficient power delivery networks (power grids) to ensure stable power to all parts of the chip.
Develop and validate high-performance, low-power clock networks (Clock Tree Synthesis - CTS) to ensure proper synchronization across the entire chip.
Develop, enhance, and maintain custom scripts (e.g., Tcl, Perl, Python) for automation and improved efficiency.
Conduct extensive design rule checks (DRC) to ensure the layout adheres to manufacturing rules, performing layout versus schematic (LVS) checks to verify that the physical layout matches the logical design.

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
The AI and Infrastructure team is redefining whats 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
Design, develop, and maintain CAD tools and scripts to automate and streamline design tasks, verification processes, and data analysis.
Administer and optimize the front-end compute environment, ensuring reliability, performance, and scalability.
Provide technical support and training to Design and Verification teams on the use of CAD tools, scripts, and the compute environment.
Identify opportunities to enhance front-end development workflows, implement improvements, and document best practices.
Work closely with design, verification, and CAD teams to understand their needs, gather requirements, and deliver effective solutions.

Were looking for an Automation Infrastructure engineer whos a true tech geek, creative thinker, and great at execution to join our engineering team. If you think about validation as craftsmanship, have satisfaction from delivering high-quality products, always dreamed of being part of building the next generation of Automation Infrastructure technology, and work with some of the top talents in the app economy industry, this is the place.
What you'll be doing
Designing, building, and maintaining our automation infrastructure for our suite of products, ensuring they meet the highest standards of quality and functionality.
Coaching and mentoring team members on best practices for automation, fostering an environment of learning and continuous improvement.
Interact, lead technical discussions with other team members, and collaborate to solve complex issues.