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You will own the overall Android platform architecture and lead the development of AOSP-based ROMs for AI-native devices. This role involves designing system services and security architectures to enable AI agents to interact seamlessly with the OS.
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: Agent runtime, context, memory, orchestration and overall AI system architecture.
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.
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.
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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