Machine Learning Physical Design Engineer

Join Google's innovative hardware team as a Machine Learning Physical Design Engineer, where you'll be at the forefront of developing custom silicon solutions that power Google's direct-to-consumer products. This role combines expertise in physical design with machine learning to optimize Power Performance Area (PPA) metrics. You'll work on critical aspects including floorplan, place and route, clock and power planning, timing analysis, and Power Delivery Network analysis.

Working at Google, you'll contribute to products used by millions worldwide, collaborating across Alphabet with design, CAD, and machine learning teams, including Google DeepMind. The position requires expertise in physical design flow and low-power design techniques, with a focus on applying machine learning to improve chip design efficiency.

The role offers an opportunity to shape the next generation of hardware experiences, delivering unparalleled performance and efficiency. You'll be part of Google's mission to organize world's information and create radically helpful experiences through the combination of AI, Software, and Hardware.

As a team member, you'll work on deploying AI solutions into chip design, collaborating with internal teams to explore and implement solutions that improve chip design PPA and cycle time. The position requires strong technical skills in both hardware design and machine learning, making it an unique opportunity to work at the intersection of these cutting-edge fields.