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AI Phone - Head of Android / AOSP

Bjak

LondonHybridFull Time10+ years
Posted 3 days ago

About

We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.

There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.

Focus: Android OS, custom ROM, system architecture and hardware integration.

Responsibilities

  • Own the overall Android platform architecture and AOSP-based ROM development.
  • Define how AI capabilities should be integrated at the OS level.
  • Design system services and privileged APIs that allow AI agents to interact with the OS and applications.
  • Define system-level permission and security architecture.
  • Evaluate Android platform limitations and identify what needs to be modified or extended.
  • Work with hardware vendors / ODMs on device integration.
  • Lead Android platform engineering and establish technical standards.
  • Evaluate technical feasibility and trade-offs for the first phone.

Requirements

  • Strong experience with Android Open Source Project (AOSP).
  • Deep understanding of Android Framework, System Services and Android internals.
  • Experience with Binder IPC, Android permissions, SELinux and system processes.
  • Strong Java / Kotlin and C++ knowledge.
  • Experience building or modifying Android ROMs.
  • Experience shipping Android platform-level features, not just Android applications.
  • Strong system architecture and technical leadership experience.

Nice to have

  • Experience from Google Android / Pixel, Samsung, Xiaomi, OPPO or similar Android platform teams.
  • Experience with custom ROM development.
  • Experience with Android BSP, HAL and device bring-up.
  • Experience with background execution and power optimization.
  • Experience integrating AI or ML capabilities at the OS level.

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