Job Description

Locations

• Cupertino, California, United States 95014

Salary

Required Qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience (experience)
• 5+ years of professional software engineering experience, with a significant focus on mobile development (iOS) (experience, 5 years)
• Proven experience building and shipping complex, high-performance applications that run on-device (experience)
• Strong understanding of mobile system fundamentals, including concurrency, memory management, and power optimization (experience)
• Experience or strong interest in AI/ML concepts, particularly in the areas of Large Language Models, agentic systems, and MLOps (experience)

Preferred Qualifications

• Experience working with on-device LLMs or other on-device ML models (e.g., using Core ML, TensorFlow Lite, or PyTorch Mobile) (experience)
• Hands-on experience with agentic frameworks or tool-use architectures (e.g., LangChain, custom agents) (experience)
• Strong skills in Swift (desired) and at least one other object-oriented programming language (experience)
• Experience with on-device databases (e.g., Core Data, Realm, SQLite) (experience)
• Experience with multi-platform development or building systems that operate across different operating systems (experience)
• Knowledge of model quantization, pruning, and other on-device optimization techniques (experience)
• Experience with distributed systems and client-server communication (experience)
• A track record of leading complex technical projects from concept to launch (experience)
• A passion for building innovative user experiences (experience)
• Exceptional problem-solving and analytical skills (experience)
• The ability to thrive in a fast-paced, ambiguous environment where you are building a new and emerging technology (experience)
• Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to a variety of audiences (experience)

Responsibilities

• 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.
• 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

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