Google is seeking a Senior GPU System Architect to join their hardware team, focusing on developing custom silicon solutions that power Google's direct-to-consumer products. This role combines advanced GPU architecture with machine learning and system optimization, working at the intersection of hardware and software. The position requires deep expertise in computer architecture, particularly GPU systems, and involves collaboration across multiple teams including Product Management, Research, and Android.
The ideal candidate will drive GPU architecture decisions for Tensor SOC, analyzing and optimizing performance for various workloads including gaming, UI, and machine learning applications. They will need to understand both the hardware and software aspects of GPU systems, proposing architectural improvements while working closely with software teams to optimize the entire stack.
This is an opportunity to shape the future of Google's hardware experiences, working on products that impact millions of users worldwide. The role offers the chance to work with cutting-edge technology in GPU architecture while contributing to Google's mission of organizing the world's information and making it universally accessible.
The position requires strong technical expertise in computer architecture, system-level thinking, and the ability to work across different teams. The successful candidate will play a crucial role in advancing Google's hardware capabilities, particularly in the GPU space, while ensuring optimal performance and efficiency of their consumer products.