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Systems Software Engineer, Intelligence Orchestration, Proactive Intelligence

Apple · Cupertino, United States of America

Spotted 113d ago

Job details

Posted
Jul 1, 2026
Last confirmed open
Oct 21, 2026

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  • Have you previously worked at Apple?
Job description

About this role

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.

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.

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

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

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