Software Engineer - Model Performance - Special Projects

Were a small team at Apple betting on what comes next. We believe AI will fundamentally change how people interact with their devices - and were looking for software engineers who want to build that future.

We cant say much about what were building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous.

Beyond the work, were a collaborative, humble, and curious group that loves learning from each other and building together. Youll 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. Youll have a lot of autonomy in how you get there.

What the day-to-day looks like: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 reviewYouve shipped software that people relied on, and you learned something from every hard call along the way Youre someone who unblocks yourself. When the path isnt 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 dont 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 Youve already brought AI into how you write code - and youre 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 youre strong in another platform, youll ramp quickly here.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. Youre the person your team comes to when a new model drops or a new technique emerges A sharp eye for detail. You notice whats off and you know when its right