Simulation and Control Systems Design Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$225,300 / yr
Posted
5 days ago
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Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $201k
This role $188k
$139k $253k
below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $160,380–$241,750 — the blue band above. At the midpoint, this role pays about $188k versus about $201k for comparable roles.

Based on 240 similar postings.

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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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Simulation and Control Systems Design Engineer

The Simulation and Control Systems Design Engineer joins the Platform Architecture group to contribute to the development of new thermal control algorithms. This role involves developing System Identification and learning techniques to model and simulate various power, performance, and thermal characteristics within products. The engineer will implement control systems in embedded microcontroller environments to solve complex thermal management problems. Required technical skills include proficiency with Python and Matlab, along with experience in embedded systems. Preferred qualifications include a deep knowledge of Estimation Theory, Classical and Modern Control Systems Theory, and Statistical Learning Algorithms. Candidates should also possess proficiency in C++. This position focuses on the technical challenge of creating accurate models for hardware performance and thermal stability through advanced simulation and control theory applications.

What you'll do

  • Develop new thermal control algorithms for Apple products.
  • Develop System Identification and learning techniques to model product characteristics.
  • Simulate various power, performance, and thermal characteristics.
  • Implement control systems within embedded microcontroller environments.
  • Utilize Python and Matlab for system modeling and analysis.
  • Apply estimation theory and statistical learning algorithms to hardware systems.
  • Design and refine classical and modern control systems.

What we're looking for

  • B.S. in Electrical Engineering, Robotics, Mechanical Engineering, Aerospace Engineering, or a similar degree.
  • Experience implementing Control Systems in Embedded Microcontroller environments.
  • Experience with Python and Matlab.
  • 3+ years of relevant industry experience (preferred).
  • M.S. or PhD in Electrical Engineering, Robotics, Mechanical Engineering, or Aerospace Engineering with an emphasis in control systems or robotics (preferred).
  • Deep knowledge of System Identification algorithms, Estimation Theory, Classical and Modern Control Systems Theory, and Statistical Learning Algorithms (preferred).
  • Proficiency in C++ (preferred).
  • Strong interpersonal and verbal, written, and presentational skills (preferred).

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