Google is seeking a Silicon Networking RTL Design Senior Engineer to join their Google Cloud team, focusing on shaping the future of AI/ML hardware acceleration. This role involves working on cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. The position is part of the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for designing, implementing, and managing hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud.
The role requires deep expertise in ASIC development, with a focus on developing custom silicon solutions for TPU architecture and its integration within AI/ML-driven systems. You'll be working on ASICs used to accelerate and improve traffic efficiency in data centers, collaborating with various teams including architecture, verification, power and performance, and physical design.
Key responsibilities include owning microarchitecture implementation, working with multiple teams for feature development, driving design methodology, and leading improvements in power, performance, and area optimization. The ideal candidate will have extensive experience in ASIC development, verification, and networking domain expertise.
This position offers the opportunity to work on technology that impacts billions of users worldwide through Google's services and Cloud platform. The role combines hardware engineering with cutting-edge AI/ML applications, making it an exciting opportunity for someone passionate about pushing the boundaries of technology in a global-impact environment.