In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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.

Collaborate in or lead projects to identify automation opportunities, analyze potential approaches, develop custom tooling or flows implementing existing first-party/third-party tools, and support deployment of the resulting solutions across global sites.

Study, diagnose, and review technical issues by collaborating with silicon and software engineers and third-party EDA and IP vendors to analyze the sources of the issues and the impacts on user productivity.

Develop and review code developed by other team members and users to provide feedback, ensuring best practices are followed.

Write documents that set new technical directions.

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

Leverage AI to both speed the development of tools and development flows, providing more natural and higher-efficiency ways for users to interact with developed technologies.