The Haptic Engineering team develops innovative haptic solutions that are central to Apple's products, including the iPhone and Apple Watch. Our key goal is to enable the world's best user-experience and explore the possibilities using haptics. We are a highly multi-functional team working in a hands-on environment that values creativity, engineering excellence, and passion for innovation. New challenges arise every single day that require the sharp analytical skills of hardworking and inquisitive individuals..We are seeking a control engineer to lead the design, development, and validation of control systems and algorithms for next-generation haptic actuators and experiences. Come join us!
As a Haptics Control Architect, you will lead the technical vision and development of advanced control systems that define the next generation of haptic experiences across Apple's product ecosystem. You will architect sophisticated control algorithms and frameworks that manage complex actuator dynamics, setting the technical direction for haptic systems while ensuring they meet exceptional standards for performance, reliability, and user experience. Your role extends beyond individual contribution to include technology pathfinding, identifying emerging opportunities, and driving strategic decisions that will shape the future of haptic technology at Apple.
BS and a minimum of 10 years relevant industry experienceStrong background in control engineering, dynamics, and signal processingExcellent written and verbal communication skillsTeam Oriented: must be able to thrive in collaborative cross-functional environments
Hands-on experience in control system design, analysis, implementation, and validationTrack record of driving technical decisions and alignment across diverse engineering functionsFamiliarity with modeling electro-mechanical systemProficiency with Matlab/Simulink and C/C++Experience with electromagnetic or piezoelectric actuators is a plusExperience with high volume mass production is a plusKnowledge of micro controller or embedded hardware/software is a plusKnowledge of state-space techniques is a plusKnowledge of nonlinear control technique is a plusExperience with AI/ML-based control system design is a plusM.S. or Ph.D. in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Applied Physics or equivalent with a specialization in control engineering