Staff Hardware System Architect, Pixel Watch

Responsibilities

• Architect the data processing paths and hardware-software interfaces for ambient and edge computing applications on wearable hardware.
• Define system and component-level specifications for performance, power, and thermals. Support critical user journeys, including on-device AI for audio and ecosystem interoperability across Google’s platforms.
• Evaluate the critical trade-offs between power, cost, and form factor. Select chipsets and key components while influencing supplier road maps to deliver optimized solutions.
• Oversee system prototyping and integration. Drive the validation and optimization process to ensure all hardware meets established key performance indicators.
• Investigate emerging technologies, algorithms, and architectures to drive innovation for future wearable products.
• - Architect the data processing paths and hardware-software interfaces for ambient and edge computing applications on wearable hardware. - Define system and component-level specifications for performance, power, and thermals. Support critical user journeys, including on-device AI for audio and ecosystem interoperability across Google’s platforms. - Evaluate the critical trade-offs between power, cost, and form factor. Select chipsets and key components while influencing supplier road maps to deliver optimized solutions. - Oversee system prototyping and integration. Drive the validation and optimization process to ensure all hardware meets established key performance indicators. - Investigate emerging technologies, algorithms, and architectures to drive innovation for future wearable products.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience. - 6 years of experience working in a consumer electronics environment. - 3 years of experience in technical leadership. Preferred qualifications: - 10 years of experience in computer architecture and System-on-Chip (SoC) design, for Android-based hardware systems. - Experience in balancing complex design trade-offs across performance, power, cost, and form factor within hardware and software domains. - Experience with machine learning models and AI accelerators, such as Neural Processing Units (NPUs). - Experience in ambient and edge computing, including on-device AI processing, data processing, and memory management for low-power devices. - Knowledge of consumer electronics, with a focus on wearable or mobile ecosystems. - Ability to navigate ambiguity and drive technical consensus across matrixed engineering, software, and product management teams.