Senior Machine Learning Physical Design Engineer

1 Day ago • 5-10 Years • Research & Development • Artificial Intelligence

Job Summary

Job Description

This Senior Machine Learning Physical Design Engineer role at Google involves developing custom silicon solutions for Google's direct-to-consumer products. You will contribute to improving SOC Performance, Power, Area (PPA) using machine learning techniques. Responsibilities include deploying Google's AI solutions into chip design, collaborating with internal teams (including Google DeepMind), and applying machine learning to improve chip design PPA or cycle time. Your work will impact logic design, floor planning, place and route, clock and power planning, timing analysis, and PDN analysis. The ideal candidate has 5+ years of experience in Physical Design, experience with Python or C++, and experience with Machine Learning. Knowledge of various machine learning algorithms is preferred.
Must have:
  • Bachelor's degree in Electrical Engineering or related field
  • 5+ years Physical Design experience
  • Python or C++ experience
  • Machine Learning experience
  • Improve SOC PPA using ML
Good to have:
  • 10+ years in Synthesis and Physical Design
  • Experience with various ML algorithms
  • Understanding of algorithms and data structures

Job Details

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.

About the job

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.

Responsibilities

  • 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.

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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