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Simulation and Control Systems Engineer - Platform Architecture

Apple
Posted 12 days ago, valid for 22 days
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking a motivated Simulation and Control Systems Design Engineer to develop new thermal control algorithms.
  • Candidates should have a B.S. in Electrical Engineering, Robotics, Mechanical Engineering, Aerospace Engineering, or a similar field.
  • A minimum of 3 years of relevant industry experience is required, along with proficiency in coding languages such as C++, Python, or Matlab.
  • Preferred qualifications include an M.S. or PhD in a related field and deep knowledge of System Identification algorithms and Control Systems Theory.
  • Salary details are not specified, but the role emphasizes innovation and collaboration in a dynamic work environment.
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product!

Description


Apple's Platform Architecture group is seeking a highly motivated Simulation and Control Systems Design Engineer to contribute to the development of new thermal control algorithms. You will be responsible for developing System Identification and learning techniques to model and simulate different power/performance/thermal characteristics in our products.

Minimum Qualifications


B.S. in Electrical Engineering, Robotics, Mechanical Engineering, Aerospace Engineering or similar engineering degree. Experience implementing Control Systems in Embedded Microcontroller environments. Experience with coding languages such as C++, Python, or Matlab.

Preferred Qualifications


Minimum of 3 years relevant industry expericne. M.S. or PhD in Electrical Engineering, Robotics, Mechanical Engineering or Aerospace Engineering. Deep knowledge of System Identification algorithms, Estimation Theory, Classical and Modern Control Systems Theory, and Statistical Learning Algorithms. Strong interpersonal and verbal/written/presentational skills.



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