Minimum qualifications: + Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. + 5 years of experience with Physical Design. + Experience with Python or C++. + Experience with Machine Learning. Preferred qualifications: + 10 years of experience in Synthesis and Physical Design. + Experience and knowledge in various machine learning algorithms from logistic regression to neural networks and reinforcement learning. + Understanding of algorithms and data structures. 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. + Deploy Google’s AI solutions into chip design, work with internal teams, Google DeepMind and other teams within Google to explore solutions and apply to improve chip design PPA or cycle time. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.