Hardware System Architect, Pixel Watch

Google Google · Big Tech · Mountain View, CA +2

This role focuses on architecting hardware systems for wearable products, specifically the Pixel Watch, to enable ambient and edge computing applications. The architect will define system design, ensure subsystems meet performance, power, and cost goals, and analyze data processing paths. Collaboration with internal teams, silicon vendors, and technology partners is key. The role involves defining system and component specifications, evaluating trade-offs, selecting chipsets, overseeing integration, and investigating emerging technologies. Experience with machine learning models and AI accelerators is preferred.

What you'd actually do

  1. Architect the data processing paths and hardware-software interfaces for ambient and edge computing applications on wearable hardware.
  2. Define system and component-level specifications for performance, power, and thermals.
  3. Evaluate the critical trade-offs between power, cost, and form factor.
  4. Oversee system prototyping and integration.
  5. Investigate emerging technologies, algorithms, and architectures to drive innovation for future wearable products.

Skills

Required

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, or related field, or equivalent practical experience.
  • 6 years of experience working in a consumer electronics environment.
  • 3 years of experience in technical leadership.

Nice to have

  • 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.

What the JD emphasized

  • ambient and edge computing
  • on-device AI
  • AI accelerators