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About the Role
Join the Private Cloud Compute (PCC) team to build Apple's privacy-preserving cloud inference platform. You will design and ship Swift frameworks and sandboxed services for the on-device client side of the inference pipeline, ensuring privacy and correctness for every Apple Intelligence and Foundation Models request.
Responsibilities
- Design and evolve on-device client SDKs and XPC services, balancing API ergonomics with strict process-isolation and attestation guarantees.
- Implement high-throughput, low-latency request paths including protobuf serialization, payload compression, session state management, retry/cancellation semantics, and streaming of incremental model output.
- Own concurrency and resource management across Swift Concurrency, AsyncStream, and GCD, including cancellation, back-pressure, and lifetime management of XPC connections.
- Build telemetry, signposts, and privacy-audited logging for diagnosing request failures without exposing user data.
- Collaborate with server-side, Foundation Models, attestation, and platform-frameworks teams; write design documents, lead reviews, and mentor engineers.
- Profile on real hardware using Instruments to reduce memory, latency, and energy costs in the request path.
Requirements
- Experience developing complex, system-level frameworks, daemons, or background services for iOS and macOS.
- Strong programming proficiency in Swift.
- 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.
Skills
- Swift
- Objective-C
- C/C++
- Swift Concurrency
- GCD
- AsyncStream
- Protocol Buffers
- XPC
- Instruments
- Telemetry
- Logging
Location
- Apple platform
Work Type
- System-level
Experience Level
- System-level frameworks experience
About the Company
- The Private Cloud Compute (PCC) team builds Apple's privacy-preserving cloud inference platform.
- This platform enables generative-AI features on iPhone, iPad, Mac, and Vision Pro to utilize cloud capabilities without compromising user privacy.