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Senior Motion Scientist - Sensing & Connectivity

Apple
Posted 2 days ago
Location

Cupertino, CA, US

Salary

Competitive

Contract type

Full Time

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The Motion & Interaction team designs and delivers intuitive customer experiences through motion sensing. When you simply raise your wrist, shake your head, or move your device to interact, it’s the work of engineers and scientists on this team. Our fingerprints can be found across core capabilities and experiences on iPhone, Watch, AirPods, Vision Pro, and other Apple products. We are a multidisciplinary team, uniting expertise in algorithms, software, hardware, and design. We come from diverse backgrounds in software engineering, firmware development, machine learning, signal processing, controls, statistics, and more. Our environment values engineers who proactively seek responsibility for complex systems with deep technical challenges.

Description


We are seeking a self-motivated senior scientist to build Apple's next-generation sensor fusion and state estimation technologies. You will design, implement, and validate estimation and control algorithms for low-power embedded systems, optimizing for power, memory, and real-time performance. You will take ideas from early prototype to production, often where the solution doesn't exist yet. You will work closely with engineers, project managers, and designers, and your features will reach millions of users every day.

Minimum Qualifications


MS or PhD in controls, robotics, mechanical engineering, computer science, or a related field, or 7+ years of equivalent experienceDeep knowledge of classical and modern control theory and estimation, including nonlinear estimation, observability, and filter consistencyTrack record of shipping impactful features on schedule

Preferred Qualifications


Embedded or real-time C/C++ production codeSignal processing, motion estimation, and system modelingIMU-based inertial navigation, attitude estimation or sensor calibrationMachine learning combined with robust classical, model-based methodsMulti-modal algorithms using IMU, images, video, and/or audioExcellent communication and collaboration skills



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