GPU Architect, Silicon

Google is seeking a GPU Architect to join their Silicon team, focusing on developing custom silicon solutions for Google's direct-to-consumer products. This role combines hardware architecture expertise with software optimization, working specifically on GPU cores for the Tensor SoC. The position requires deep understanding of computer architecture concepts and experience with performance analysis tools.

As a GPU Architect, you'll be part of Google's initiative to create cutting-edge hardware experiences that power millions of devices worldwide. You'll work closely with Machine Learning, GPU Software, Android, and device teams to optimize GPU performance and integration within the Tensor SoC ecosystem. This role offers the opportunity to shape the future of Google's hardware architecture, particularly in the GPU space.

The ideal candidate should have strong foundations in computer architecture, experience with GPU workload analysis, and proficiency in C++ and Python. Knowledge of graphics APIs (Vulkan, OpenGL), Android OS, and ARM-based architectures is highly valued. This position offers the chance to work on innovative solutions that directly impact Google's hardware products while collaborating with diverse teams across the organization.

You'll be contributing to Google's mission of organizing the world's information and making it universally accessible through hardware innovation. The role combines technical expertise with strategic thinking, as you'll be responsible for both defining GPU cores and proposing architectural improvements for better system integration. This is an excellent opportunity for someone passionate about hardware architecture and interested in working at the intersection of AI, software, and hardware development.