Senior Software Engineer - AI Experiences
Job Description
About the Role
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.
Description
You'll work alongside a tight group of engineers, designers, and researchers to bring AI features from early prototype to product. This is 0-to-1 work — from a rough idea on a whiteboard to software running on real devices. You'll have a lot of autonomy in how you get there.
Minimum Qualifications
- \u003cli\u003e5+ 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
- \u003cli\u003eYou've shipped software that people relied on, and you learned something from every hard call along the way
- \u003cli\u003eYou'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
- \u003cli\u003eComfortable with ambiguity and excited by problems that don't have an obvious answer yet
- \u003cli\u003eYou work well across teams and build trust with partners in design and engineering
- \u003cli\u003eYou make the people around you better — through mentoring, shaping technical direction, and the way you approach hard problems
- \u003cli\u003eYou've already brought AI into how you write code — and you're always looking for the next way to use it
- \u003cli\u003eB.S. Computer Science or equivalent experience required
Preferred Qualifications
- \u003cli\u003eDeep experience in one or more iOS/macOS domains: system services, UI frameworks, concurrent application architecture, or performance optimization
- \u003cli\u003eYou've wired together LLM-powered systems yourself — agents, tool orchestration, prompt engineering — and you have opinions about what worked and what didn't
- \u003cli\u003eClose to the frontier. You're the person your team comes to when a new model drops or a new technique emerges
- \u003cli\u003eA sharp eye for detail. You notice what's off and you know when it's right
- \u003cli\u003eA point of view on where human-AI interaction is headed — and the instinct to know what it should feel like when it gets there