Overview
On Site
USD 171,600.00 - 302,200.00 per year
Full Time
Skills
Bridging
Mobile Devices
Servers
Systems Design
Reasoning
Data Flow
Workflow
Sensors
Privacy
IT Management
Mentorship
Roadmaps
User Experience
Product Requirements
Specification Gathering
Computer Science
Software Engineering
FOCUS
Mobile Development
IOS Development
Shipping
Concurrent Computing
Management
Artificial Intelligence
Large Language Models (LLMs)
Machine Learning Operations (ML Ops)
Machine Learning (ML)
TensorFlow
PyTorch
LangChain
Swift
Object-Oriented Programming
Database
Core Data
SQLite
Operating Systems
Optimization
Client/server
Conflict Resolution
Problem Solving
Analytical Skill
Communication
Collaboration
Articulate
Payments
Job Details
We are seeking a highly innovative and experienced Software Engineer to join our team, focused on pioneering the next generation of intelligent, on-device experiences! Our team presents an excellent opportunity to lead the development of a complex system that bridges the gap between powerful LLMs and the resource-constrained environment of mobile devices. Our work directly impacts the core functionality of our products, enabling new, seamless user workflows and intelligent interactions! Are you ready to leave an enduring mark on the world of technology and deliver groundbreaking Apple products?
Description In this role, you will be responsible for designing, building, and deploying Agentic Large Language Model (LLM) features that run directly on Apple devices and servers. You will work on a mission-critical system that empowers users with intelligent, context-aware, and autonomous capabilities, all while prioritizing user privacy and on-device performance.
Responsibilities
Minimum Qualifications
Preferred Qualifications
Pay & Benefits 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 $171,600 and $302,200, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Description In this role, you will be responsible for designing, building, and deploying Agentic Large Language Model (LLM) features that run directly on Apple devices and servers. You will work on a mission-critical system that empowers users with intelligent, context-aware, and autonomous capabilities, all while prioritizing user privacy and on-device performance.
Responsibilities
- Architect and Develop Agentic Systems: Design and build the core architecture for on-device agents and the tools they will use. This includes creating the agentic reasoning and planning layer, the on-device tool registry, and the data-flow pipelines
- On-Device LLM Integration: Integrate on-device LLMs to run efficiently on iOS devices, managing memory, power consumption, and compute resources
- Hybrid On-Device/PCC Architecture: Engineer a seamless system that can execute agentic workflows and tool calls both on the user's device and on a personal computer, ensuring a consistent and reliable user experience across platforms
- On-Device Data and Input Integration: Design and build robust integrations with on-device databases (e.g., Core Data, SQLite), and other device inputs like user location, motion data, and sensor data, to provide rich context for the agents
- Tool Building and Management: Create a flexible and scalable "tooling" framework that allows agents to interact with various applications and data sources on the device (e.g., health, location, calendar, etc.)
- Performance and Privacy Optimization: Continuously monitor and optimize the performance of the on-device agents, focusing on latency, battery life, and resource usage. Ensure all data handling adheres to the highest standards of user privacy and security
- Technical Leadership: Serve as a technical leader within the team, providing guidance and mentorship to other engineers, participating in code reviews, and helping to set the technical roadmap for the agentic systems
- Cross-Functional Collaboration: Partner with product managers, UX designers, and ML researchers to translate product requirements into technical specifications and deliver high-quality, impactful features
Minimum Qualifications
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
- 5+ years of professional software engineering experience, with a significant focus on mobile development (iOS)
- Proven experience building and shipping complex, high-performance applications that run on-device
- Strong understanding of mobile system fundamentals, including concurrency, memory management, and power optimization
- Experience or strong interest in AI/ML concepts, particularly in the areas of Large Language Models, agentic systems, and MLOps
Preferred Qualifications
- Experience working with on-device LLMs or other on-device ML models (e.g., using Core ML, TensorFlow Lite, or PyTorch Mobile)
- Hands-on experience with agentic frameworks or tool-use architectures (e.g., LangChain, custom agents)
- Strong skills in Swift (desired) and at least one other object-oriented programming language
- Experience with on-device databases (e.g., Core Data, Realm, SQLite)
- Experience with multi-platform development or building systems that operate across different operating systems
- Knowledge of model quantization, pruning, and other on-device optimization techniques
- Experience with distributed systems and client-server communication
- A track record of leading complex technical projects from concept to launch
- A passion for building innovative user experiences
- Exceptional problem-solving and analytical skills
- The ability to thrive in a fast-paced, ambiguous environment where you are building a new and emerging technology
- Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to a variety of audiences
Pay & Benefits 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 $171,600 and $302,200, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.