About The Position
The Private Cloud Compute (PCC) team builds Apple's 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 device. This 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.
Requirements
- 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.
Responsibilities
- 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
