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  • London

  • 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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