GPU Silicon Architect

Google is seeking a GPU Silicon Architect to join their hardware team focused on developing custom silicon solutions for Google's direct-to-consumer products. This role combines advanced computer architecture with Google's AI and hardware initiatives to create next-generation computing experiences. The position involves working on the Tensor System on Chip (SOC), specifically focusing on GPU cores and their optimization.

The ideal candidate will have deep expertise in computer architecture, particularly in GPU systems and workload analysis. They will work cross-functionally with Machine Learning, GPU Software, Android, and device teams to optimize GPU performance and integration within the Tensor SOC architecture. This role requires both technical depth in hardware architecture and the ability to collaborate across multiple technical domains.

The position offers competitive compensation including a base salary range of $132,000-$189,000, plus bonus, equity, and comprehensive benefits. This is an opportunity to directly impact Google's hardware capabilities and contribute to products used by millions of people worldwide.

The role is based in Mountain View, CA, and requires strong technical skills combined with the ability to work across teams. The successful candidate will help shape the future of Google's custom silicon solutions, particularly in the GPU space, working at the intersection of hardware architecture and machine learning applications.

This is an excellent opportunity for someone passionate about computer architecture who wants to work on cutting-edge hardware solutions at scale, with access to Google's vast resources and talented teams. The role offers significant technical challenges and the chance to influence the direction of Google's custom silicon strategy.