GPU Architect, Silicon

Google is seeking a GPU Architect to join their Silicon team, focusing on developing custom silicon solutions for their 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.

The ideal candidate will work at the intersection of hardware and software, collaborating with Machine Learning, GPU Software, and Android teams to create innovative solutions. You'll be responsible for defining GPU cores, proposing architectural improvements, and enhancing the overall Tensor SoC performance for GPU workloads.

This is an exciting opportunity to shape the future of Google's hardware experiences, working with cutting-edge technology in GPU architecture and system-on-chip design. You'll be part of a diverse team that pushes boundaries and develops solutions that power millions of devices worldwide.

The role offers the chance to work with Google's industry-leading AI and hardware teams, contributing to the next generation of mobile computing solutions. You'll be involved in all aspects of GPU architecture, from workload analysis to architectural design and system integration.

Your work will directly impact the performance and efficiency of Google's consumer products, making computing faster and more powerful. The position requires a blend of technical expertise in computer architecture, GPU systems, and software optimization, making it ideal for someone passionate about hardware-software co-design and system architecture.

Working at Google's New Taipei office, you'll be part of a global team that combines the best of Google's AI, Software, and Hardware capabilities to create radically helpful experiences. The role offers the opportunity to work on challenging problems at scale, with access to Google's vast resources and expertise in silicon development.