Senior Software Engineer, On-Device Health Agentic Systems

Summary

We are seeking a senior iOS Software Engineer with deep experience building applications powered by Large Language Models (LLMs). This is a hands-on development role focused on creating the next generation of intelligent on-device experiences for Apple users.

You will be responsible for building cutting-edge iOS applications that serve as the primary interface for on-device AI. A key part of your role will be to explore and define the software architecture for a scalable, high-performance system that seamlessly integrates powerful LLM agents into the Apple ecosystem, all while prioritizing user privacy and on-device performance. This role is for an expert iOS developer passionate about building the foundational architecture for AI-driven applications.

This is a unique opportunity to define the future of intelligent applications at Apple. You will be at the center of building a new class of on-device experiences, setting the architectural foundation for how millions of users will interact with AI on a daily basis.

Description

What you'll build:
- AI-Powered iOS Applications: Architect and build innovative, high-performance on-device apps that showcase the power of intelligent LLM agents.
- Scalable On-Device Architecture: Design the client-side frameworks and architectural patterns for integrating LLM systems efficiently on iOS.
- LLM Agent Integration: Implement the software that connects user-facing applications to on-device and hybrid AI reasoning and planning engines.
- Interactive AI Prototypes: Rapidly build and iterate on application prototypes to explore new user interactions and architectural options.

Minimum Qualifications

BS and 10+ years of professional software development with expert-level experience building high-performance, consumer-facing mobile applications and frameworks.
Strong proficiency in a modern systems programming language such as C++, ObjectiveC/Swift, or Rust.
Deep understanding of mobile system fundamentals: concurrency, memory management, and power optimization.
Practical knowledge of how LLM-powered systems work, including agent frameworks and RAG architectures.
Proficiency in AI-assisted development workflows, with experience going beyond simple code suggestions to tackle complex debugging, architectural trade-offs, or automation tasks.

Preferred Qualifications

Experience with on-device ML frameworks like Core ML, Foundation Model, etc.
Experience in SwiftUI and modern iOS architectural patterns.
Knowledge of model quantization, caching, and other on-device optimization techniques.
Experience with multi-platform development (e.g., building for both iOS and macOS).

Pay & Benefits — Sunnyvale, California, United States

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 $184,700 and $324,800, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.