Senior Machine Learning Physical Design Engineer

Join Google's Silicon team as a Senior 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 machine learning expertise with physical design to improve SoC Performance, Power, and Area (PPA). You'll work on logic design and optimization, floorplanning, place and route, clock and power planning, timing analysis, and Power Delivery Network analysis.

The position requires collaboration across Alphabet, working with design, CAD, and machine learning teams. You'll be applying cutting-edge AI solutions to chip design challenges, working alongside Google DeepMind and other internal teams. Your work will directly impact the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

The ideal candidate should have strong experience in both Physical Design and Machine Learning, with expertise in various ML algorithms from logistic regression to neural networks and reinforcement learning. Understanding of algorithms and data structures is crucial, as is proficiency in Python or C++.

This is an opportunity to shape the future of Google's hardware while working with world-class teams in AI and chip design. You'll be contributing to products used by millions worldwide, with the backing of Google's extensive resources and innovative culture. The role offers the chance to work on challenging technical problems at the intersection of machine learning and hardware design.