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.\\n\\nWe 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.\n
Bachelor's Degree in Computer Science, Computer Engineering, related field, or equivalent work experience\n4+ years of experience in iOS/macOS application development\nStrong proficiency in Swift, SwiftUI, Swift Concurrency, and Swift Testing\nExperience architecting and maintaining complex native apps in large production codebases, applying modern design patterns\nSolid understanding of multithreading, concurrency, and memory management\nProven track record of writing testable, maintainable code that teams can build on\nExcellent written and verbal communication skills to both technical and non-technical audiences
Master's degree in Computer Science, Computer Engineering, related field, or equivalent work experience\nExperience integrating CoreML or on-device ML models into production iOS/macOS applications.\nDemonstrated ability to profile and debug performance issues, including memory leaks and UI hangs \nExperience with Python and/or web-services development\nHistory of shipping zero-regression features or owning quality outcomes in a production environment\nExperience rapidly adopting new Apple frameworks and sharing technical knowledge within a team
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 792148256c65c2b99ecbc1a84d2af4f4
- Posted 4 hours ago
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