Job description

You will design, build, and optimize the data persistence and synchronization systems that bring personalized context to Apple Intelligence across every Apple device while keeping that data private and on device. You'll work across the Apple OS stack, from low-level storage and system frameworks to the experiences customers touch every day, solving indexing and processing challenges at scale where performance, memory, and battery life all matter. You'll partner with machine learning and feature teams to bring named entities and user-interaction signals into the platform, championing strong-typing best practices and Apple's high bar for user privacy along the way. As a senior member of the team, you will own critical components of the platform end to end, from initial design through long-term evolution. You'll propose architectures that shape the platform's technical direction and provide design guidance to partner engineering teams across the company, while also helping modernize engineering and code-review practices with the latest tools. Success in this role calls for a systems and backend engineer who solves problems creatively, thrives in a fast-paced and collaborative environment, and takes pride in shipping reliable code that runs on devices millions of people rely on. Bachelor's or Master's degree in Computer Science, or equivalent experience. Expertise in at least one compiled language (C/C++/Objective-C, Swift, Go, Java, Rust, or similar). Experience with backend and systems-level programming, including concurrency and multi-threaded software design. Experience building production data infrastructure such as databases, storage, serialization, or synchronization systems. Ability to write reliable, resilient, performant, and well-tested code, with skills in debugging and technical communication gained through delivering production software on large engineering projects. Experience building database or search integrations, or with distributed systems and data synchronization across devices or nodes. Familiarity with machine learning concepts and experience collaborating with machine learning teams. Experience with performance profiling and tracing tools. Experience with macOS or iOS development. Familiarity with data serialization formats and schema or strong-typing design, along with a passion for building privacy-preserving, high-performance foundational technologies.

Requirements

Must-haves

Bachelor's or Master's degree in Computer Science, or equivalent experience.
Expertise in at least one compiled language (C/C++/Objective-C, Swift, Go, Java, Rust, or similar).
Experience with backend and systems-level programming, including concurrency and multi-threaded software design.
Experience building production data infrastructure such as databases, storage, serialization, or synchronization systems.
Ability to write reliable, resilient, performant, and well-tested code, with skills in debugging and technical communication gained through delivering production software on large engineering projects.
Experience building database or search integrations, or with distributed systems and data synchronization across devices or nodes.
Familiarity with machine learning concepts and experience collaborating with machine learning teams.
Experience with performance profiling and tracing tools.
Experience with macOS or iOS development.
Familiarity with data serialization formats and schema or strong-typing design, along with a passion for building privacy-preserving, high-performance foundational technologies.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningswiftgojavarust

Platform: apple
Effort: medium