SoC Physical Design Engineer, Methodology and Machine Learning

Apple
Apple

Job Overview

Key Qualifications

  • Strong intellectual curiosity
  • Solid math background and understanding of algorithms and data structures
  • Excellent communication and organization skills
  • Practical experience and knowledge in various machine learning algorithms, from linear and logistic regression to deep neural networks and reinforcement learning
  • Excellent programming skills in Python and C++
  • 3+ years of physical design experience, including synthesis, place and route, extraction, STA and physical verification
  • Solid understanding of circuit design is a plus
  • Experience with flow development for a large number of users on a tight schedule is a plus.
  • Description

    As a Physical Design Methodology and Machine Learning engineer you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.You will use your experience in physical design and machine learning to solve very hard and unique problems. Your work will directly impact vast areas of the flow including logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, design for manufacturing/yield, and beyond. As part of your work, you will collaborate cross functionally with design, power, post silicon, CAD, software and machine learning teams.

    Education & Experience

    Minimum Bachelors Degree in EECS.

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