Description
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:
Key Responsibilities
Investigating ML model performance and power on Apple Silicon
Working closely with performance, power, model, and silicon teams to optimize the system
Partner with ML and AI researchers to translate cutting-edge models onto Apple Silicon
Prototyping ideas to support feature definition and iteration
Clearly communicate technical concepts to cross functional partners
Collaboration on architecture discussions and code review
Minimum Qualifications
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
5+ years of development experience, strong CS fundamentals, and a B.S. in Computer Science or significant equivalent experience. iOS and Swift experience is a plus — but if you're strong in another platform, you'll ramp quickly here.
Preferred Qualifications
Deep experience in one or more iOS/macOS domains: system services, UI frameworks, concurrent application architecture, or performance optimization
Practical knowledge of how LLMs work at the lowest level of model design and execution
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
Apple