Silicon Development Engineer, Frontend, PhD, University Graduate

Google is seeking a Silicon Development Engineer to join their ML, Systems, & Cloud AI (MSCA) organization, focusing on frontend silicon engineering and hardware development. This PhD-level position offers an opportunity to work on cutting-edge technology that powers Google's direct-to-consumer products and AI infrastructure.

The role involves working across various stages of the silicon lifecycle, from architecture and design to verification and validation. You'll be contributing to critical silicon infrastructure like TPUs and ML accelerators, optimizing for performance, power, and area efficiency. The position requires expertise in hardware description languages, digital design, and system integration.

As part of Google's hardware team, you'll collaborate with cross-functional teams to develop custom silicon solutions that enhance user experience and drive innovation. The role offers competitive compensation ($132,000-$189,000 + bonus + equity + benefits) and the opportunity to work in either Sunnyvale, CA or Madison, WI.

Key responsibilities include developing innovative solutions in frontend silicon engineering, utilizing advanced modeling techniques, participating in complex system design and verification, and contributing to electronic design automation tool infrastructure. The ideal candidate will have a PhD in a relevant field, research experience, and strong problem-solving skills.

This position is part of Google's broader mission to advance AI and computing infrastructure, working on projects that impact billions of users worldwide. You'll be joining a team that prioritizes security, efficiency, and reliability while pushing the boundaries of hyperscale computing and AI acceleration.

The role offers exposure to cutting-edge technology and the chance to work on Google's latest TPUs and global network infrastructure. You'll be contributing to the development of solutions that power Google Cloud's Vertex AI and other enterprise-level AI platforms. The position combines academic expertise with practical engineering challenges, making it ideal for PhD graduates looking to make a significant impact in silicon engineering and AI hardware development.