AI System Lead Engineer

What you'll do

• Own system architecture, roadmap, technical standards, and shippable requirements for Ambient Intelligence or Device and Application Intelligence.
• Lead cross-team engineering delivery, architecture and security reviews, and decisions on interfaces, trust boundaries, reliability, privacy, and launch readiness.
• Partner with product, design, security, and AI teams to create coherent experiences across devices and mentor engineers.

What they ask for

• 8+ years of professional software engineering experience and 2+ years leading multi-engineer product-system delivery from design through launch.
• Experience designing AI-powered product experiences and defining architecture and requirements across subsystems.
• Cross-platform systems experience with a shared core and per-OS hosts; deep systems experience in at least two of Rust, Kotlin/Android, Windows native, or C/C++.
• Experience with privacy-by-design, API/ABI boundaries between native code and application hosts, and delivery involving multiple dependent teams.

Nice to have

• End-to-end AI experience design, on-device or edge ML integration, or background/always-on workloads.
• Observability, remote configuration and kill-switch patterns, consumer device shipping, clear technical writing, or secure coding and threat-aware design.

Pay

168,100–257,715 USD annual compensation range; base salary status not specified

Tools

Rust, Kotlin/Android, Windows native, C/C++

AI focus

Architects cross-device personal AI experiences, including contextual and proactive behavior, user control, on-device or edge ML integration, and privacy-aware assistance or automation.