Job description

You will own the motion sensing system architecture for state-of-the-art sensors (magnetic, inertial, and pressure) across Apple products. Your primary responsibility is to drive the feature roadmap, define feature requirements, and systematically decompose them into system requirements and sensor module specifications. You will build and validate quantitative end-to-end models capturing the full signal chain — physical, electrical, and algorithmic — to ensure that sensor specifications and intermediate figures of merit guarantee feature-level performance. Beyond requirements definition, you will own sensor integration into the product system, leveraging modeling and simulation to optimize sensor placement and working cross-functionally to ensure placement meets performance, mechanical, and manufacturing constraints. You will define comprehensive validation plans, execute them rigorously, and generate high-quality reports to communicate results, risks, and recommendations to leadership and cross-functional teams. BS and a minimum of 10 years relevant industry experience. Practical understanding of motion sensors (magnetic, inertial, pressure) and relevant physics. Experience in architecture and system-level design of sensing systems. PhD with 5+ years of hands-on experience and a proven track record shipping motion sensor or sensing system products. Experience in architecture, design, characterization, and validation of MEMS sensing systems (accelerometer, gyroscope, magnetometer, barometer), including theory of operation, signal processing, fabrication, packaging, and design trade-offs. Deep, multi-disciplinary understanding of EE, ME, transducer physics, and system engineering principles. Proficiency in modeling, simulation, and analysis tools (ANSYS Maxwell, COMSOL, MATLAB, Python, JMP); experience designing and running FEA or Monte Carlo simulations. Experience in sensor placement optimization through modeling (FEA, magnetic/inertial simulation) within product-level constraints. Strong fundamentals in signal processing, probability, and statistics; competency in sensor fusion, machine learning, and mathematical modeling is an asset. Experience defining and executing validation plans from characterization through production readiness. Experience building and testing complex multi-physics systems and delivering related prototypes. Excellent written and verbal communication skills with solid collaboration and leadership abilities.

Requirements

Must-haves

BS and a minimum of 10 years relevant industry experience.
Practical understanding of motion sensors (magnetic, inertial, pressure) and relevant physics.
Experience in architecture and system-level design of sensing systems.
PhD with 5+ years of hands-on experience and a proven track record shipping motion sensor or sensing system products.
Deep, multi-disciplinary understanding of EE, ME, transducer physics, and system engineering principles.
Proficiency in modeling, simulation, and analysis tools (ANSYS Maxwell, COMSOL, MATLAB, Python, JMP); experience designing and running FEA or Monte Carlo simulations.
Experience in sensor placement optimization through modeling (FEA, magnetic/inertial simulation) within product-level constraints.
Strong fundamentals in signal processing, probability, and statistics; competency in sensor fusion, machine learning, and mathematical modeling is an asset.
Experience defining and executing validation plans from characterization through production readiness.
Experience building and testing complex multi-physics systems and delivering related prototypes.
Excellent written and verbal communication skills with solid collaboration and leadership abilities.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonmachine learning

Platform: apple
Effort: medium