Google is seeking a Silicon Development Engineer to join their ML, Systems, & Cloud AI (MSCA) organization. This role is specifically designed for PhD graduates completing their studies in 2025 or 2026. As a Silicon Engineer, you'll be at the forefront of Google's AI initiatives, working on custom silicon solutions that power their direct-to-consumer products. The position involves working across various stages of the silicon lifecycle, from architecture and design to verification, validation, and deployment.
The role requires expertise in silicon engineering, with a focus on optimizing performance, power, and area for critical infrastructure like TPUs and ML accelerators. You'll be making independent technical contributions, managing your priorities, and collaborating with cross-functional teams to translate research into practical solutions. The position offers the opportunity to work on cutting-edge technology that impacts billions of users worldwide.
Working in the MSCA organization, you'll be part of the team responsible for the hardware, software, machine learning, and systems infrastructure that powers all Google services and Google Cloud. The organization prioritizes security, efficiency, and reliability, while pushing the boundaries of hyperscale computing. This includes work on advanced technologies like Google Cloud's Vertex AI and Gemini models.
The position offers competitive compensation, including a base salary range of $132,000-$189,000, plus bonus, equity, and comprehensive benefits. Successful candidates will have a PhD in a relevant field, experience in silicon engineering, and strong programming skills. The role provides an excellent opportunity to work on innovative hardware solutions while contributing to Google's next generation of AI and computing infrastructure.