Job Details

Role Number: 200643345-0836

Summary

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.

What the day-to-day looks like:

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