AI Phone - Head of Android / AOSP

BJAKUnited StatesRemoteFull-timePrincipal, 12–15+ yearsListed 22 hours ago

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About this role

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.