In this role, you will be part of a team developing Application-Specific Integrated Circuit (ASICs) used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, and physical design to specify and deliver quality designs for next-generation data center accelerators. You will solve technical problems with micro-architecture and practical reasoning solutions, and evaluate design options with complexity, performance, power.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.