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Senior Swift Software Engineer - Agentic OS Experiences

Apple · Cupertino · Posted 2026-08-31

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Job description

We're a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices — and we're looking for software engineers who want to build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together. Minimum Qualifications: 5+ years of mobile or application development experience, strong CS fundamentals, iOS and Swift experience is a plus — but if you're strong in another platform, you'll ramp quickly here You've shipped software that people relied on, and you learned something from every hard call along the way You're someone who unblocks yourself. When the path isn't clear, you figure it out — whether that means reading the source, building a prototype, or pulling in the right people Comfortable with ambiguity and excited by problems that don't have an obvious answer yet You work well across teams and build trust with partners in design and engineering You make the people around you better — through mentoring, shaping technical direction, and the way you approach hard problems You've already brought AI into how you write code — and you're always looking for the next way to use it B.S. Computer Science or equivalent experience required Preferred Qualifications: Deep experience in one or more iOS/macOS domains: system services, UI frameworks, concurrent application architecture, or performance optimization You've wired together LLM-powered systems yourself — agents, tool orchestration, prompt engineering — and you have opinions about what worked and what didn't Close to the frontier. You're the person your team comes to when a new model drops or a new technique emerges A sharp eye for detail. You notice what's off and you know when it's right A point of view on where human-AI interaction is headed — and the instinct to know what it should feel like when it gets there