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, requiring deep expertise in computer architecture and system-level optimization. The position involves working at the intersection of hardware and software, optimizing GPU performance for games, UI, and ML applications on Google's Tensor SOC.
The ideal candidate will have extensive experience in computer architecture, particularly in GPU systems, and will work closely with multiple teams including Product Management, Google Research, and device teams. They'll be responsible for driving architectural decisions that impact the performance of Google's next-generation hardware products.
This is a unique opportunity to shape the future of Google's hardware experiences, working with cutting-edge technology in a company that's at the forefront of AI and computing innovation. The role requires both technical depth in GPU architecture and the ability to collaborate across different technical domains.
The position offers the chance to work on products that impact millions of users worldwide, with access to Google's vast resources and expertise in AI, software, and hardware development. The successful candidate will join a team that's pushing the boundaries of what's possible in consumer hardware, particularly in the integration of GPU capabilities with machine learning applications.
This role is ideal for someone who combines strong technical skills in GPU architecture with a broader understanding of system-level optimization and software integration. The position offers significant growth potential and the opportunity to work on challenging problems at the cutting edge of hardware development.