Sensor System Architect, Touch & Biometric Sensing
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Before you apply
LocationCupertino, California, United States
Work modeon-site
Typefull-time
SeniorityLead
Experience10+ yrs
DepartmentHardware
Company size10,000+ people
PostedNov 2, 2026 · 2d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Deep multi-disciplinary understanding of EE (esp. analog circuits), ME, and Physics principles
Experience in sensor or related technology development with proficiency in algorithm development and signal processing for sensor systems
Experience in modeling complex cross-disciplinary systems, using tools such as Matlab, Python, SPICE, or similar
Familiarity with mechanical design principles, FEA, and advanced materials
BS and a minimum of 10 years relevant industry experience
Background in control systems and / or estimation theory
Experience with statistical tolerance or MonteCarlo analysis methods in a mass production setting
Deep experience with multi physics simulation tools (e.g., Comsol, ANSYS, Maxwell)
Excellent communication, teamwork, and technical leadership skills
M.S. or PhD in Electrical or Mechanical Engineering, Physics, or related field
Skills
Matlab
Python
SPICE
Comsol
ANSYS
Maxwell
About the role
Imagine shaping the future of how people interact with Apple products, from secure biometric authentication to the nuances of the touch experience. As a key member of our Sensing Systems team, you will drive architecture & technology development for both next-generation Touch ID, and Apple Watch Touch technologies.
Description
Your work will ensure that Apple devices are not only fundamentally secure, but also offer the most intuitive and responsive touch interfaces in the world. This role sits at the intersection of technology definition and product integration, spanning initial concept & physics-based modeling, through definition of system requirements that guide mass production.
Responsibilities
•
Define and lead development of end-to-end system models for novel touch and biometric sensing systems, spanning physics, electronics, mechanics, and algorithms
•
Author feature-level and architectural specifications for next-generation sensing modules, translating product goals into detailed technical requirements
•
Drive convergence of system architecture by leading cross-functional teams, e.g., Product Design, Display, Silicon, Software), to navigate complex design tradeoffs
•
Define and communicate technical strategy and roadmap for future sensing technologies to executive and cross functional leadership
•
Partner with algorithm and firmware teams to co-develop the signal processing chain and define the requirements for advanced sensing algorithms
•
Directly influence the selection and development of advanced materials and manufacturing processes by working closely with mechanical and materials engineering teams
•
Guide the analysis of large-scale engineering and production datasets to validate system models, driving continuous improvement from early characterization to mass production
•
Provide architectural oversight through product integration, characterization, and validation, to ensure design intent is met
•
10% business travel to support product development
Minimum qualifications
•
Deep multi-disciplinary understanding of EE (esp. analog circuits), ME, and Physics principles
•
Experience in sensor or related technology development with proficiency in algorithm development and signal processing for sensor systems
•
Experience in modeling complex cross-disciplinary systems, using tools such as Matlab, Python, SPICE, or similar
•
Familiarity with mechanical design principles, FEA, and advanced materials
•
BS and a minimum of 10 years relevant industry experience
Preferred qualifications
•
Background in control systems and / or estimation theory
•
Experience with statistical tolerance or MonteCarlo analysis methods in a mass production setting
•
Deep experience with multi physics simulation tools (e.g., Comsol, ANSYS, Maxwell)
•
Excellent communication, teamwork, and technical leadership skills
•
M.S. or PhD in Electrical or Mechanical Engineering, Physics, or related field
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