Google Cloud is seeking an AI/ML Architect to join their Technical Infrastructure team, focusing on developing cutting-edge AI accelerators for data centers. This role combines hardware architecture expertise with machine learning technology, working at the forefront of Google's AI infrastructure development.
The position involves designing and implementing next-generation data center accelerators, requiring deep expertise in micro-architecture, ASIC design, and hardware-software interfaces. You'll be working with state-of-the-art AI technology while collaborating with cross-functional teams across software, verification, and silicon validation.
As an AI/ML Architect, you'll be responsible for evaluating and implementing silicon solutions for Google's data center AI accelerator roadmap, including custom designs and chiplets. The role requires strong technical skills in hardware design, particularly in areas like RTL development, SystemVerilog, and timing closure.
This is an excellent opportunity for someone with both hardware and AI expertise who wants to impact Google's AI infrastructure at scale. You'll be part of the team that pushes boundaries in custom silicon solutions, directly contributing to the innovation behind Google's products used by millions worldwide.
The position offers the chance to work with cutting-edge technology in AI acceleration, collaborating with world-class engineers and researchers. You'll be at the intersection of hardware and AI, helping shape the future of Google's AI infrastructure while solving complex technical challenges in silicon design and architecture.