Control Systems Engineer

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.\\n\\nThe Camera Systems Engineering Group develops systems, calibration, and correction procedures to maintain high image quality over a wide range of use cases and component variation. Past projects have addressed autofocus, image stabilization, position sensing and stereo imaging. The team is seeking an exceptional control systems engineer with broad skills to design and develop the next generation of camera technology.

As a Camera System Controls Engineer you will be involved in determining requirements and specifications for control systems, systems-level analysis and modeling of control systems, developing robust control strategies, guiding design and construction of prototypes to assess user impact, defining tests and procedures, and the documentation of requirements and rationale.

BS degree and a minimum of 10 years relevant industry experience in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Control Systems, or related technical field\nExperience in dynamic modeling, control theory, and/or state-space analysis including feedback control design\nExperience with MATLAB/Simulink for control system design and/or real-time control system implementation

MS/PhD in Control Systems, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or related field with focus on control system design and implementation.\nExperience with estimation theory, Kalman filtering, and state-space modeling\nExperience with real-time control implementation using microcontrollers, DSP processors, and embedded C/C++ programming\nExperience with one or more of the following: autofocus control systems, optical image stabilization, inertial stabilization, precision positioning systems, or machine learning/computer vision algorithms for camera controls\nExperience with actuator control including Shape Memory Alloy (SMA), Piezoelectric (PZT), voice coil motors, or MEMS devices\nExperience with test equipment including dynamic signal analyzers, oscilloscopes, and frequency response analyzers\nExperience with multidisciplinary engineering teams and take ownership of complex problems