Software Engineer Private Cloud Compute, On-Device Client Frameworks

The Private Cloud Compute (PCC) team builds Apples privacy-preserving cloud inference platform the system that lets generative-AI features on iPhone iPad Mac and Vision Pro reach into the cloud without compromising user privacy. We are looking for a Software Engineer to join the team that builds the on-device client side of that pipeline: the system frameworks and sandboxed services that every Apple Intelligence and Foundation Models request flows through before it ever leaves the is system-level Apple platform work. You will design and ship the Swift frameworks that turn high-level inference requests into a compact wire protocol manage long-lived connections stream multimodal output back to client apps - all under strict process isolation and privacy guarantees. Your code will run on every device that uses Apple Intelligence and the bar for correctness performance and privacy is set accordingly.

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:nnDesigning 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 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 concurrency and resource management across async/await AsyncStream and GCD including correct cancellation back-pressure and lifetime management of long-lived XPC the telemetry signposts and privacy-audited logging that let on-call engineers diagnose request failures across device cloud and inference layers without exposing user closely with the PCC server-side Foundation Models attestation and platform-frameworks teams; writing design documents leading reviews and mentoring engineers on Apple platform 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.

Experience developing complex system-level frameworks daemons or background services for iOS and macOS (beyond standard UI-focused app development).nStrong programming proficiency in Swift alongside experience with Objective-C or C/C for lower-level system 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 -on experience with Apples Inter-Process Communication (XPC) to bridge sandboxed applications and system with secure communication protocols cryptography or privacy-preserving 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 with end-to-end systems that span device network and server tiers and comfort reasoning about failure modes across that boundary.