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 design optimizations, floorplan, place and route, clock and power planning, timing analysis, and Power Delivery Network analysis.

Working alongside teams across Alphabet, including Google DeepMind, you'll apply cutting-edge AI solutions to improve chip design efficiency and performance. The position requires deep knowledge of physical design flows and low-power design techniques, while leveraging machine learning algorithms from logistic regression to deep neural networks and reinforcement learning.

As part of Google's mission to organize the world's information and make it universally accessible, you'll contribute to creating radically helpful experiences by combining the best of Google AI, Software, and Hardware. The team focuses on making computing faster, seamless, and more powerful, ultimately aiming to improve people's lives through technology.

This role offers the opportunity to work with world-class experts in both chip design and machine learning, contributing to innovations that will be used by millions of users worldwide. You'll be part of Google's commitment to pushing boundaries in hardware development, working in an environment that values creativity, technical excellence, and collaborative problem-solving.

The position is based in Bengaluru, Karnataka, India, where you'll have access to Google's state-of-the-art facilities and resources. This is an excellent opportunity for someone who wants to be at the intersection of hardware design and artificial intelligence, contributing to next-generation technology solutions.