Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Machine Learning Engineer for Google Silicon Organization, you will contribute to improving SOC Performance, Power, Area (PPA) using machine learning techniques you will use your experience in machine learning to solve technical problems and improve on Power, Performance, Area and Schedule. Your work will directly impact logic design and optimizations, floor-plan, place and route, clock and power planning , timing analysis , Power Delivery Networks (PDN) analysis and beyond. You will collaborate across Alphabet working with design, CAD and machine learning teams.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.