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 Apples 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.

Design develop and maintain daemons and frameworks that support on-device intelligence features across Apple platformsnManage models for on-device inference and coordinate routing to private cloud computenSchedule and optimize document processing workloads to power search experiencesnDevelop and improve unit tests and performance tests; diagnose and resolve customer-reported issuesnProvide design guidance and technical expertise to partner engineering teams across the company

Expert-level proficiency in C Objective-C or SwiftnKnowledge of operating system architecture and systems programming fundamentalsnExperience developing daemons libraries or command-line tools on a Unix or Linux platformnFamiliarity with machine learning conceptsnAnalytical and debugging skills

Experience applying machine learning concepts in a systems engineering contextnDevelopment experience on macOS or iOSnExperience with agentic coding tools or AI-assisted development workflowsnAbility to analyze and solve systems problemsnAbility to deliver work on schedule in a dynamic environmentnPassion for creating customer experiences