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# Software Engineer - Model Performance - Special Projects

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Salary:** $184,700.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Artificial Intelligence, Apple IOS, Applications Architecture, Machine Learning, Performance Tuning, Large Language Models, Ios Frameworks, Model Validation, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://www.themuse.com/jobs/apple/software-engineer-model-performance-special-projects

## About the Role

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, 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.

## 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:

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


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