GPU Silicon Architect

Google is seeking a GPU Silicon Architect to join their hardware team in Mountain View, CA. This role is crucial in developing custom silicon solutions that power Google's direct-to-consumer products. The position combines hardware architecture expertise with Google's cutting-edge AI and software capabilities to create next-generation computing experiences.

The role involves defining GPU cores for the Tensor System on Chip (SOC), working closely with Machine Learning, GPU Software, and Android teams to optimize performance and integration. You'll be responsible for analyzing GPU workloads, optimizing the overall Tensor SOC architecture, and proposing features that enhance GPU integration with the broader system.

This is an excellent opportunity for someone with strong computer architecture background and GPU expertise. The ideal candidate will have at least 3 years of experience with computer architecture concepts and proven experience in GPU workload analysis and optimization. Knowledge of modern graphics APIs (Vulkan, OpenGL), Android OS, and ARM-based systems is highly valued.

The position offers competitive compensation ($132,000-$189,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be working at Google's Mountain View campus, contributing to products used by millions worldwide. The role combines technical depth with cross-functional collaboration, making it perfect for someone who wants to impact the future of Google's hardware products.

Google provides an inclusive work environment and is committed to equal opportunity employment. They offer comprehensive benefits and support for professional growth. This role is part of Google's broader mission to organize the world's information and make it universally accessible through innovative hardware solutions.