Design and implement security and privacy controls for on-device AI features on Snap OS, including model integrity, secure data handling, inference-time privacy protections, and sensor access controls. Research and develop security features across firmware, applications, system services, and cloud-connected device surfaces. Improve fuzzing infrastructure, automated security testing, and continuous validation pipelines for OS components, IPC mechanisms, parsers, drivers, firmware, and AI data flows. Requires 5+ years developing production software in C, C++, or Rust and 3+ years building security or platform protection features for Linux-based, embedded, mobile, or wearable systems.