Silicon Architecture/Design Engineer, PhD, Early Career

Join Google as a Silicon Architecture/Design Engineer and shape the future of AI/ML hardware acceleration through TPU (Tensor Processing Unit) technology. This role is part of the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for the hardware, software, and infrastructure powering Google's services and Cloud platform. You'll work on cutting-edge technology that fuels Google's most demanding AI/ML applications, collaborating with cross-functional teams to architect, model, and design next-generation TPUs.

The position requires expertise in hardware architecture, ML workload optimization, and software/hardware interface design. You'll be responsible for developing architectural specifications, performance models, and implementing advanced AI/ML capabilities. The role combines technical depth in silicon design with the opportunity to impact Google's global AI infrastructure.

As part of Google's commitment to innovation in AI hardware, you'll work with state-of-the-art tools and technologies, contributing to the development of TPUs that power services used by billions of people. The role offers the unique opportunity to work at the intersection of hardware architecture and machine learning, with access to Google's vast technical resources and collaboration with industry-leading experts.

This position is ideal for candidates with a PhD and interest in hardware acceleration for AI/ML, offering the chance to work on challenging technical problems while contributing to Google's mission of organizing the world's information and making it universally accessible and useful.