Senior iOS Engineer - AI Platform at Yonder Media Mobile

, , Poland -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

0.0

Posted On

03 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Swift, iOS SDK, C++, Objective-C, Apple Neural Engine, CoreML, MLX, ExecuTorch, Llama.cpp, Cryptography, Secure Enclave, System-level constraints, Background execution, App Store review, Telemetry, AI inference

Industry

Telecommunications

Description

About the Role Yo is building an AI inference platform that runs directly on smartphones - turning the phone in your pocket into part of a global AI network. You will own the iOS side: building the runtime that uses Apple Neural Engine to run real AI models on real devices while the phone sits on the charger. This is a foundational hire. You set the iOS technical direction from day one and ship code that runs on millions of devices. ## Key Responsibilities - 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 ## Required Qualifications - 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 ## Nice to Have - On-device ML experience (CoreML, MLX, ExecuTorch, llama.cpp on iOS) - Apple Neural Engine optimisation; quantised model formats (INT4 / INT8, GGUF) - Has shipped a public SDK or library used by other developers - Cryptography fundamentals - end-to-end encryption, attestation, secure enclave - Open-source contributions to ML inference projects ## What Success Looks Like (First 6 Months) - Working iOS SDK shipped to a pilot user base - Production telemetry showing measured battery and thermal impact - Stable runtime across the range of supported devices - Clean foundation for the team to build on ## Location & Logistics - Remote / flexible (team in EU and US time zones) - Competitive senior compensation, equity participation - Reports to the CTO

Responsibilities

You will own the end-to-end architecture and development of the iOS SDK, including the runtime for AI inference on the Apple Neural Engine. You will also be responsible for ensuring the application is battery-efficient, thermally stable, and compliant with Apple's background execution rules.