Operations Automation Engineer, Watch System

Position: Operations Automation Engineer, Watch Intelligent System Experience
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!

Do you want to help deliver the next amazing Apple product? As an Operations Automation Engineer on the Apple Watch Intelligent System Experience team, you'll bring your passion for automation and efficiency to an engineering team shaping the future of watch

OS.As an Operations Automation Engineer on the Apple Watch Intelligent System Experience team, you'll be responsible for accelerating software development workflows for bug triage, source code management, and continuous integration.

You'll work with screening engineers to develop novel ways to analyze bug reports and customer feedback at scale for key watch

OS experiences including the Smart Stack, clock faces, the home screen, notifications, and the frameworks that power them. You'll also work with integration engineers to design, implement, and maintain automated tests for features and fixes, and automate code submission processes for multiple software releases. We are looking for an enthusiastic, curious, and technically savvy teammate who can juggle a variety of tasks efficiently.

Are you excited about being a member of the Apple Watch engineering team, working together to help watch

OS delight our customers in new and intelligent ways? We want your energy and unique perspective on our team!

Experience with large language models (like Apple Foundation Models, Claude, Gemini, or other LLMs)
Experience adapting tools for use with generative AI using the Model Context Protocol (MCP)
Familiarity with consumer-facing software development processes
Familiarity with iOS development tools (Xcode, Instruments)
Experience developing apps with Objective-C and Swift, and frameworks like SwiftUI
Experience debugging software issues
Expertise with bug tracking systems
Previous work with analyzing large data sets of text and images, including sentiment analysis

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