About The Position

We are seeking a Power Control Systems Architect to lead the development of next-generation power control systems. You will be responsible for designing and evolving the power control architecture deployed across Apple products to extend battery life and improve user experience while meeting device power and thermal constraints across multiple timescales. This work involves collecting and analyzing performance/power data from real-world workloads, applying advanced control theory and estimation techniques to multi-timescale constraint problems, exploring data-driven and predictive approaches to power allocation, cooperating with systems and software teams to characterize and analyze power/performance profiles, and evaluating power control algorithms based on the resulting insights.

Requirements

  • BS degree
  • Experience with one or more of the following programming languages: Matlab/Simulink, C/C++, Bash and/or Python
  • Experience with control system design in one or more of the following areas: Classical Control Theory, Modern Control Theory, System Identification, Estimation Theory, Signal Processing, or multi-timescale constraint handling

Nice To Haves

  • MS or PhD in Electrical/Computer Engineering or Computer Science or equivalent
  • 20+ years of relevant industry experience
  • Experience implementing control systems in embedded microcontroller environments
  • Experience applying data-driven or machine-learning approaches to power allocation, predictive analytics, or constraint prediction
  • Experience with multi-timescale or hierarchical constraint-handling techniques in real-time control systems
  • Innovative and critical system-level thinker with control system design and debug skills
  • Desire to bring data-driven decision-making and analytics to improve our products
  • Professional and collaborative with interpersonal communication skills

Responsibilities

  • Designing and evolving the power control architecture deployed across Apple products
  • Extending battery life and improving user experience
  • Meeting device power and thermal constraints across multiple timescales
  • Collecting and analyzing performance/power data from real-world workloads
  • Applying advanced control theory and estimation techniques to multi-timescale constraint problems
  • Exploring data-driven and predictive approaches to power allocation
  • Cooperating with systems and software teams to characterize and analyze power/performance profiles
  • Evaluating power control algorithms based on the resulting insights
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