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Apple CAD ML Timing Optimization Engineer 
United States, Texas, Austin 
755645787

06.06.2024
Description
As a CAD ML Timing Optimization Engineer, you will:- Deliver methodology and tool solutions for static timing closure and power optimization.- Apply data science and ML analytics to quantify, mine, and predict intriguing patterns.- Deploy innovative modeling and optimization approaches to achieve globally optimal targets.- Prudently apply best-in-class learning algorithms to deliver value-adding design solutions.- Pursue deep analysis of design implementation alternatives to isolate key issues and identify appropriate ECO remedies.- Implement code infrastructure to facilitate analytics and visualization.- Collaborate with silicon design, CAD, and EDA partners to identify flow deficiencies and enact creative solutions.
Key Qualifications
  • Practical knowledge and experience in applying ML and/or GPU accelerated approaches to solving challenging optimization tasks.
  • Proven software engineering background and experience with C++, Python, and a variety of deep learning libraries and infrastructure.
  • Strong analytical skills and ability to identify high ROI opportunities.
  • Proficiency with optimization algorithms, data modeling, and mathematical representations.
  • Hands on experience in static timing analysis and/or design optimization flows.
  • Solid understanding of Physical Design challenges, proficiency with place and route tools and implementation exploration.
  • Good communicator who can accurately assess, describe issues to management and follow solutions through to completion.
  • Familiarity with timing and power ECO techniques and high performance deep sub-micron processor designs is a plus.
Education & Experience
Minimum requirement of BS + 10 years of relevant industry experience
Additional Requirements
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.