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., 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

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.