Machine Learning Physical Design Engineer

Google is seeking a Machine Learning Physical Design Engineer to join their team developing custom silicon solutions for Google's direct-to-consumer products. This role combines traditional physical design engineering with cutting-edge machine learning applications to optimize chip design. The position focuses on improving Power Performance Area (PPA) using ML techniques while working on design optimizations, floorplanning, place and route, clock and power planning, timing analysis, and Power Delivery Network analysis.

The ideal candidate will work at the intersection of physical design and machine learning, collaborating across Alphabet with design, CAD and machine learning teams including Google DeepMind. They will be responsible for deploying AI solutions to improve chip design efficiency and performance metrics.

This role offers the opportunity to shape the next generation of hardware experiences at Google, working on products used by millions worldwide. The position requires expertise in both traditional physical design workflows and modern machine learning approaches, with the goal of pushing boundaries in custom silicon development.

The role is based in Bengaluru, India, working as part of Google's broader hardware organization that combines AI, software and hardware expertise. The successful candidate will contribute to Google's mission of organizing the world's information while developing radically helpful experiences through innovative chip design approaches.

This is an excellent opportunity for someone with both physical design and machine learning expertise who wants to work on cutting-edge silicon development at one of the world's leading technology companies.