About the job

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

As a Chip CAD Engineer, you will be working with a highly creative team, innovating new ways to develop hardware, improve upon industry standards, and with the potential to evolve a new paradigm in the field. At Google, you will have the opportunity to find the perfect blend of software design practices and hardware development complexity. Whether your strength is in software coding, with an understanding of hardware, or you are a hardware engineer with software proficiency, this role will let you demonstrate your work in both disciplines.

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

• Own chip development workflows such as integration, or source control and review.
• Create software solutions that improve the hardware design process through automation.
• Work with Chip teams on projects, prototype and then deploy tools to make a positive impact on Google's chip hardware development methodology.
• Develop CAD solutions including flow automation, dashboards, and write documentation.