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# Software Engineer - Private Cloud Compute, On-Device Client Frameworks

- **Company:** Apple Inc.
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Apple Mac Systems, C++ (Programming Language), Cloud Computing, Profiling, Computer Programming, Daemon Tools, Serialization, Software Design Documents, Memory Management, Protocol Buffers, Inter-Process Communication, Machine Learning, Network Programming, Software Engineering, Systems Integration, Private Cloud Environment, Data Logging, Large Language Models, Concurrency, Low Latency, Objective C++
- **Published:** July 1, 2026
- **Apply:** https://www.totaljobs.com/job/software-engineer/apple-job107613383

## About the Role

* Experience developing complex, system-level frameworks, daemons, or background services for iOS and macOS (beyond standard UI-focused app development).
 * Strong programming proficiency in Swift, alongside experience with Objective-C or C/C++ for lower-level system integration.
 * Deep understanding of concurrency (Swift Concurrency, GCD), memory management, and asynchronous network programming., * Experience designing or evolving wire protocols (e.g., Protocol Buffers), data-streaming pipelines, or connection management.
 * Hands-on experience with Apple's Inter-Process Communication (XPC) to bridge sandboxed applications and system services.
 * Familiarity with secure communication protocols, cryptography, or privacy-preserving architectures.
 * Working knowledge of ML concepts and frameworks and proficiency in performance profiling with Instruments, and experience implementing robust client-side telemetry and logging using native Apple APIs.
 * Familiarity with end-to-end systems that span device, network, and server tiers, and comfort reasoning about failure modes across that boundary.

## Description

You will be a key contributor to the Swift frameworks and XPC services that connect on-device apps and system daemons to PCC. Day-to-day responsibilities include:Designing and evolving the on-device client SDKs and the XPC services they sit behind, balancing API ergonomics for client teams with the strict process-isolation and attestation guarantees required by PCC.Implementing high-throughput, low-latency request paths: protobuf serialization of inference payloads, payload compression, multi-turn session state and lifecycle, retry/cancellation semantics, and streaming of incremental model output back to clients.Owning concurrency and resource management across async/await, AsyncStream, and GCD - including correct cancellation, back-pressure, and lifetime management of long-lived XPC connections.Building the telemetry, signposts, and privacy-audited logging that let on-call engineers diagnose request failures across device, cloud, and inference layers without exposing user
data.Collaborating closely with the PCC server-side, Foundation Models, attestation, and platform-frameworks teams; writing design documents, leading reviews, and mentoring engineers on Apple platform fundamentals.Profiling on real hardware with Instruments and driving down memory, latency, and energy costs in the request path - these libraries run on every device, on every inference, so every microsecond matters.


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