Senior iOS Systems Engineer - On-Device AI & Services

Apple, Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Comprehensive medical and dental care

Retirement benefits

Employee stock purchase plan

Job summary

Apple, Inc. in Cupertino, California, is seeking a senior iOS frameworks engineer to design and build on-device systems powering Generative AI experiences across Apple platforms.

You will own frameworks, daemons, and system APIs, enabling secure data exchange and efficient cross-device synchronization. You will mentor engineers, drive architectural decisions, and collaborate across teams while optimizing performance, energy use, and reliability.

Qualifications

• 6+ years of software engineering on client-side or platform-level iOS systems.
• Strong proficiency in Swift and Objective-C with production-quality frameworks.
• Systems programming including concurrency, multithreading, memory management, performance tuning.

Responsibilities

• Design and implement frameworks, daemons, and system services for iOS platforms.
• Build IPC layers using XPC for secure data exchange across components.
• Architect CloudKit-based data synchronization for cross-device experiences.
• Design robust interfaces to REST endpoints and backend services.
• Develop metrics/telemetry frameworks to measure health and engagement.
• Mentor engineers and contribute to architectural decisions.

Skills

Swift

Objective-C

Concurrency

Multithreading

XPC

REST APIs

CloudKit

Intra-system communication

Git

Communication

Education

Bachelor's or Master's in Computer Science

Tools

Xcode

LLDB

Instruments

Job description

Apple, Inc. in Cupertino, California, is seeking a senior iOS frameworks engineer to design and build on-device systems powering Generative AI experiences across Apple platforms.

You will own frameworks, daemons, and system APIs, enabling secure data exchange and efficient cross-device synchronization. You will mentor engineers, drive architectural decisions, and collaborate across teams while optimizing performance, energy use, and reliability.