iOS/macOS Software Engineer

Are you passionate about designing and building native apps that deliver great impact and value, and eager to apply your expertise to solve real-world problems at Apple’s incredible scale? Join us on the Product Integrity AI/ML team where we build the software behind Apple's hardware product development - tools used by thousands of Apple engineers and third-party manufacturers to develop, debug, and verify systems before they reach customers. We work at the intersection of hardware, software, AI/ML, and on-device intelligence, where the problems are genuinely hard and the stakes are real. Our applications are high-visibility across Apple: the decisions they enable directly influence the quality of products shipped to hundreds of millions of people. If you want to write software that matters at Apple's scale, this is the team. We are a multi-discipline software engineering team inside Hardware Engineering, delivering software that integrates cutting-edge AI/ML capabilities to support hardware and software engineering decisions. Our applications and services are used across engineering organizations, with direct influence on what ships to customers. As an iOS/macOS Software Engineer on our team, you will design, implement, and enhance the native apps that enable Apple engineers to develop, evaluate, test, and verify products before worldwide release. You'll partner with cross-functional teams across Apple, working at the boundary of software, hardware, and on-device intelligence. The work is technically demanding, and the impact is broad. Minimum Qualifications: Bachelor’s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience 4 years of experience in iOS/macOS application development Strong proficiency in Swift, SwiftUI, Swift Concurrency, and Swift Testing Experience architecting and maintaining complex native apps in large production codebases, applying modern design patterns Solid understanding of multithreading, concurrency, and memory management Proven track record of writing testable, maintainable code that teams can build on Excellent written and verbal communication skills to both technical and non-technical audiences Preferred Qualifications: Master’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience Experience integrating CoreML or on-device ML models into production iOS/macOS applications. Demonstrated ability to profile and debug performance issues, including memory leaks and UI hangs Experience with Python and/or web-services development History of shipping zero-regression features or owning quality outcomes in a production environment Experience rapidly adopting new Apple frameworks and sharing technical knowledge within a team