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In office (Sunnyvale)
Seniority
Staff · 8+ years exp
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Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026. Apple scores A on the Alion truth index.

Overview
Company
Impact
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Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

One of Apple’s R&D groups is seeking a Mechatronics Controls Engineer to develop, prototype, and validate complex, next-generation electro-mechanical-sensor driven systems. This engineer will develop custom sensor calibration, signal processing, estimation, and controls algorithms for a host of product concepts. Typical work includes real-world modeling, simulation, machine learned and traditional algorithms, embedded implementation, and testing in the real world. We are looking for a hands-on creative individual eager to push performance boundaries on cutting-edge hardware.

Description

In this role you will partner with other mechanical, electrical, control, embedded FW, and AIML resources to develop end-to-end mechatronics experiences.

Minimum Qualifications

MS in Engineering, Robotics, or CS

8+ years of related experience and skilled in the of development, theory, design, modeling, and implementation of control systems

Deep understanding of kinematics, dynamics and equations of motion for dynamic systems.

Experience in hardware/software integration and physical system debugging

Proficient in C/C++ and Python or MATLAB

Experience with modern software development workflows, version control (e.g., Git), and genAI developer productivity tools (e.g., Claude)

Preferred Qualifications

PhD in Engineering, Robotics or CS

Strong knowledge in classical/modern control theory, robotics, and digital signal processing

Experience with rotary sensing (encoders), inertial measurement systems, and inertial state propagation

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