About this role

Own the iOS SDK end-to-end
architecture, public API, distribution, versioning
Build and maintain the iOS runtime that runs AI inference on Apple Neural Engine
Make it fast, battery-friendly, and thermally well-behaved at sustained load
Manage the iOS lifecycle correctly within Apple's background-execution rules
Work with the Android engineer to keep the two platforms feature-aligned
Ship to production and iterate against real-world telemetry

6+ years iOS engineering experience
Strong Swift; comfortable with C++ and Objective-C interop
Deep understanding of iOS lifecycle, background execution, and App Store review
Experience with system-level constraints: battery, thermal, memory pressure
Has shipped production code that runs across a wide hardware range
On-device ML experience (CoreML, MLX, ExecuTorch, llama.cpp on iOS) (Nice to Have)
Apple Neural Engine optimisation; quantised model formats (INT4 / INT8, GGUF) (Nice to Have)
Has shipped a public SDK or library used by other developers (Nice to Have)
Cryptography fundamentals
end-to-end encryption, attestation, secure enclave (Nice to Have)
Open-source contributions to ML inference projects (Nice to Have)

Senior iOS Engineer – AI Platform

Key skills