About the role

What will you do at Apple?

Apple's Platform Architecture team is looking for a Simulation and Control

Systems Engineer with a strong software background to help develop advanced

thermal and power management algorithms.

In this role, you will

collaborate with
a cross-functional team to design, implement, and validate algorithms that power
millions of Apple devices worldwide.
DESCRIPTION

In this role, you will

design, implement, debug, and validate control and
estimation algorithms for complex thermal and electrical systems. You'll work
closely with electrical and thermal engineering teams to interpret system
requirements and constraints, and partner with software engineering teams to
ensure that control algorithms are integrated in a robust, scalable, and
efficient manner. You will design and execute experiments for modeling and
validation, collect and analyze data, and identify potential issues. When
challenges arise, you'll be expected to propose thoughtful fixes and
architectural decisions to ensure system performance and reliability. This role
offers a unique opportunity to work across hardware and software domains and to
contribute directly to the performance of Apple's world-class products.
MINIMUM QUALIFICATIONS
BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering,
Robotics, Computer Science or similar degree. Hands-on experience in control
systems development. (Such as modeling, algorithm design, simulation,
implementation and/or testing) Experience in Python or MATLAB. Experience
implementing control algorithms on embedded microcontroller platforms.
Experience with optimization techniques and modern control theory.
PREFERRED QUALIFICATIONS
10 years relevant industry experience. M.S. or Ph.D. in Electrical Engineering,
Mechanical Engineering, Aerospace Engineering, Robotics, or Computer Science,
with a focus on control systems or robotics, or equivalent professional
experience. Proficiency in C++. Experience with software engineering workflows,
including Git, code review, and CI/CD pipelines. Strong knowledge of system
identification, estimation theory, and statistical learning methods. Knowledge
of optimal and robust control, adaptive control, model predictive control and/or
task and trajectory planning. Ability to communicate complex control and
algorithmic concepts clearly to cross-functional hardware and software teams.

Which skills does this role require?

Algorithm designPythonMATLABEmbedded systemsMicrocontrollersOptimization techniquesModern control theoryC++System identificationThermal managementPlatform ArchitectureThermal ManagementPower ManagementAlgorithm DesignEmbedded SystemsOptimizationModern Control TheorySystem IdentificationHardware EngineeringData AnalysisModelingValidation

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