Lead Sensor Architect, Client Platforms

Key Responsibilities

• Own the end-to-end sensor strategy (vision, camera, audio, environmental, biometric, haptics, etc.) for client PC platforms.
• Define architecture requirements for next-generation sensor subsystems—including silicon IP, firmware, drivers, calibration, and algorithms.
• Partner with silicon, platform, and OS teams to deliver best-in-class power, performance, and user-experience metrics.
• Drive technology evaluations and POCs for emerging sensing modalities (time-of-flight, radar, UWB, environmental).
• Establish and champion sensor-related security, privacy, and quality standards across the organization.
• Represent the company in industry forums and with key OEM/ODM partners; influence ecosystem roadmaps.

Preferred Experience

• Deep knowledge of sensor technologies relevant to PCs (IMUs, proximity, ambient light, camera, audio, biometric, environmental).
• Hands-on architecture or design experience with sensor hubs, microcontrollers, or always-on compute subsystems.
• Proficiency in sensor fusion algorithms, signal processing, and machine-learning–based inference at the edge.
• Familiarity with low-power digital/analog design, interfaces (I²C, SPI, MIPI, I3C), and power-management techniques.
• Experience delivering sensor drivers and firmware for Windows, Linux, or Android; familiarity with ACPI, HID, Sensor Class drivers.
• Track record of shipping high-volume consumer or PC products through full product-development lifecycle.
• Demonstrated ability to influence industry standards, contribute to specs, or collaborate with OSVs, OEMs, and ecosystem partners.
• Strong project leadership, risk management, and technical mentoring capabilities.
• Background in security/privacy for sensor data paths and secure enclave integration is highly desired.

Academic Credentials

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related discipline required.
• Master’s degree or Ph.D. in a relevant field (e.g., sensor systems, signal processing, embedded systems) is preferred.
• Relevant professional certifications and prior IP are advantageous.