Systems Software Engineer, Intelligence Orchestration, Proactive Intelligence

Apple

United States3w ago

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Key details

Location
United States
Work style
Onsite
Level
Mid level
Function
Software engineering
Focus area
Mobile
Posted
3w ago

Skills

debuggingioslinuxmachine learningmacosobjective-csdlcswiftsystem architectureunix

About the 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.

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.

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

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