Senior GPU System Architect

Google is seeking a Senior GPU System Architect to join their hardware team, focusing on developing custom silicon solutions for direct-to-consumer products. This role combines advanced GPU architecture with machine learning workloads, making it a unique opportunity at the intersection of graphics and AI. The position requires deep expertise in computer architecture, particularly in GPU systems and workload analysis.

The ideal candidate will drive GPU architecture for Tensor SOC, working closely with various teams including Product Management, Google Research, and device teams. They'll be responsible for analyzing and optimizing performance for diverse workloads spanning games, user interfaces, and machine learning applications. The role involves both hardware architecture and software stack optimization, requiring a broad understanding of the entire GPU computing stack.

This is an opportunity to shape the future of Google's hardware experiences, working on products used by millions worldwide. The position offers the chance to work with cutting-edge technology, combining GPU architecture with machine learning capabilities. The role requires collaboration across multiple teams and disciplines, making it ideal for someone who enjoys working at the intersection of hardware and software.

Google offers a collaborative environment where you'll work with world-class engineers and researchers. The position is based in Taiwan, putting you at the heart of Asia's technology ecosystem. You'll be part of Google's mission to create radically helpful experiences through the combination of AI, software, and hardware. This role is perfect for someone passionate about pushing the boundaries of GPU architecture and its applications in modern computing systems.