ML Hardware Architect — TPU AI Accelerators

Google Sunnyvale, CA seeks a Machine Learning Hardware Architect to shape TPU hardware and AI acceleration. You will drive architecture and integration across compiler, system design, and performance teams.

The role involves prototyping features, optimizing power and thermal, and collaborating with ML model teams to support training and inference at scale. Experience in C++/Python and deep learning frameworks is valued.