TPU Architect, Silicon

Google is seeking a TPU Architect to join their Silicon team, focusing on developing and optimizing Tensor Processing Units (TPUs) - custom silicon solutions that power Google's AI and machine learning capabilities. This role combines hardware architecture expertise with machine learning knowledge to drive innovation in AI accelerator design.

The position requires deep understanding of computer architecture, particularly in areas like microarchitecture, cache systems, and memory subsystems. You'll be responsible for analyzing and optimizing the performance and power efficiency of TPU architectures, working with machine learning workloads, and collaborating across teams to improve overall system performance.

This is an exciting opportunity to work at the intersection of hardware architecture and machine learning, directly impacting Google's AI infrastructure. You'll be part of a team that pushes the boundaries of what's possible in AI acceleration, working on technology that powers many of Google's core products and services.

The role offers the chance to work with cutting-edge technology in AI hardware acceleration, collaborate with world-class engineers and researchers, and contribute to the development of next-generation AI hardware. You'll be involved in the complete development cycle, from architecture design to performance analysis and optimization.

The ideal candidate should have strong technical skills in computer architecture, experience with machine learning concepts, and the ability to work effectively in a collaborative environment. This position offers the opportunity to make significant contributions to Google's AI hardware infrastructure while working on challenging and impactful projects.