Join Google Cloud as an EDA/CAD Custom Tool Development Engineer to shape the future of AI/ML hardware acceleration. This role focuses on developing cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team pushing boundaries in custom silicon solutions, working within the ML, Systems, & Cloud AI (MSCA) organization.
The position involves collaborating with Google Deepmind to integrate AI/ML techniques into chip design methodology, leading complex technical projects from conception to completion, and developing tools that rely on AI/ML techniques. You'll work on improving the end-to-end chip design process and partner with various teams to standardize methodology across projects.
As a senior member of the team, you'll be responsible for proposing, designing, and implementing software automation to address bottlenecks in ASIC and SoC EDA flow. The role requires expertise in both hardware and software domains, combining ASIC chip design knowledge with strong programming skills in Python/C++.
The impact of this role extends across Google's technical infrastructure, contributing to products used by billions of people worldwide. You'll be at the intersection of hardware and AI, helping to develop the next generation of TPU architecture and its integration within AI/ML-driven systems. This is an opportunity to influence the future of hyperscale computing while working with cutting-edge technology in a collaborative environment.