This role pays more than
89%
of similar roles. Most pay
$169,550–$243,912
— the shaded band above.
At the midpoint, this role pays about
$270k
versus about
$207k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1995 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1612 roles with salary data.
The Power Control Systems Architect - Platform Architecture joins the team responsible for developing next-generation power control systems across various product lines. This role involves designing and evolving multi-year architectures to extend battery life while managing device power and thermal constraints over multiple timescales. The architect will design and specify classical, modern, and data-driven control algorithms, guiding them from initial concept through embedded deployment in collaboration with firmware and systems teams. Key responsibilities include analyzing real-world performance data to identify improvements in predictive, machine-learning-informed power allocation. Candidates should possess expertise in Matlab/Simulink, C/C++, Bash, or Python, alongside experience in control system design, system identification, estimation theory, signal processing, or multi-timescale constraint handling. The role focuses on solving complex hardware problems related to battery management and performance optimization within real-time embedded microcontroller environments.
Define and evolve multi-year power control architectures across various product lines.
Design classical, modern, and data-driven control algorithms for battery, thermal, and performance constraints.
Guide algorithm implementation from initial concept through deployment in embedded systems.
Analyze real-world performance and power data to identify improvements in architecture and algorithms.
Explore predictive and machine-learning-informed approaches for power allocation.
Review and approve control system designs across the entire power control domain.
Mentor engineers and establish technical direction for the power control systems team.
What we're looking for
Bachelor of Science degree.
Experience with Matlab/Simulink, C/C++, Bash, and/or Python.
Experience with control system design in areas such as Classical Control Theory, Modern Control Theory, System Identification, Estimation Theory, Signal Processing, or multi-timescale constraint handling.
MS or PhD in Electrical Engineering, Computer Engineering, or Computer Science (preferred).
20+ years of relevant industry experience (preferred).
Experience implementing control systems in embedded microcontroller environments (preferred).
Experience applying data-driven or machine-learning approaches to power allocation, predictive analytics, or constraint prediction (preferred).
Experience with multi-timescale or hierarchical constraint-handling techniques in real-time control systems (preferred).
Control Systems
Python
MATLAB
C++
Model Predictive Control
System Identification
Estimation Theory
Statistical Learning
CI/CD
Git
Optimization
Trajectory Planning
Robust Control
Adaptive Control
Computer Architecture
Power Management
Thermal Management
SoC
Performance Analysis
Workload Scheduling
Machine Learning
Power Delivery Control
System Architecture
C
C++
Swift
Python
Operating System Design
Computer Architecture
Power Management
Performance Monitoring
Data Visualization
Hardware Performance
System Integration