Systems Software Engineer, Intelligence Orchestration, Proactive Intelligence

The Intelligence Orchestration team sits at the heart of Apple Intelligence, Siri, and the intelligence-powered experiences that define Apple devices for millions of people every day. We build the systems infrastructure — daemons, frameworks, and platform services — that makes on-device intelligence possible across iOS, macOS, watchOS, tvOS, visionOS, and private cloud compute. Our contributions span some of Apple's most recognizable features: Writing Tools, Spotlight Search, Smart Replies, Message Summarization, Live Translations, and Image Playground. You will work alongside machine learning and app engineers to ensure these experiences run seamlessly, even in the most resource-constrained environments.

Description
You will own the development of daemons and frameworks that power Apple Intelligence, Siri, and related intelligence features — spanning model management for on-device inference, routing to private cloud compute, scheduling document processing for search, and on-device reporting for intelligence workloads. You will contribute across the full software development lifecycle, from feature design and implementation to testing, maintenance, and resolving customer-reported issues. Beyond individual projects, you will provide design guidance and technical expertise to engineering teams across Apple.

Responsibilities
Design, develop, and maintain daemons and frameworks that support on-device intelligence features across Apple platforms
Manage models for on-device inference and coordinate routing to private cloud compute
Schedule and optimize document processing workloads to power search experiences
Develop and improve unit tests and performance tests; diagnose and resolve customer-reported issues
Provide design guidance and technical expertise to partner engineering teams across the company

Minimum qualifications
Expert-level proficiency in C, Objective-C, or Swift
Knowledge of operating system architecture and systems programming fundamentals
Experience developing daemons, libraries, or command-line tools on a Unix or Linux platform
Familiarity with machine learning concepts
Analytical and debugging skills

Preferred qualifications
Experience applying machine learning concepts in a systems engineering context
Development experience on macOS or iOS
Experience with agentic coding tools or AI-assisted development workflows
Ability to analyze and solve systems problems
Ability to deliver work on schedule in a dynamic environment
Passion for creating customer experiences