What are the responsibilities and job description for the Software Development Engineer in Test, Swift Platform Experience position at Apple, Inc.?
Join Apple's Quality Engineering organization as a Software Development Engineer in Test (SDET) focused on Swift Intelligence Frameworks, with an emphasis on Foundation Models Framework and App Intents. In this role, you will be at the forefront of quality for the frameworks that empower millions of developers to create the next generation of intelligent applications. Testing artificial intelligence requires rethinking traditional quality assurance. We are looking for someone who is not just an expert in test automation and API testing, but who is genuinely excited and eager to pioneer new, creative approaches to testing non-deterministic AI features. You will collaborate closely with cross-functional teams to understand complex framework behaviors, design robust test strategies, and ensure seamless integration across Apple's entire ecosystem-including iOS, watchOS, macOS, and visionOS.\\n
As an SDET, you will create and maintain sophisticated testing infrastructure that validates the reliability, performance, and inclusivity of Apple's most strategic developer frameworks. Your primary focus will be developing comprehensive, multi-platform test applications to evaluate in-development Swift APIs. Through this work, you will provide vital feedback that ensures developers can seamlessly integrate advanced machine learning capabilities into their apps. You will design and implement automated test suites covering functional, API, integration, and regression testing across all of Apple's platforms (iOS, macOS, tvOS, watchOS, and visionOS).\n
3 years of experience in software testing, with a strong focus on test automation, API testing, and application development.\nProficiency in the Swift programming language (including design patterns, generics, and Swift concurrency), or a strong programming foundation with the eagerness and ability to learn Swift quickly.\nExperience developing and testing for Apple platforms using Xcode, SwiftUI, XCTest, and XCUIAutomation.\nA deep curiosity and excitement for exploring novel approaches to testing Generative AI and machine learning features.\nBachelor's degree in Computer Science, Engineering, or equivalent professional experience.\n
Understanding of large language models (LLMs) and prompt engineering concepts as well as how to leverage them for tooling and development workflows.\nExperience testing machine learning frameworks or other complex, non-deterministic systems.\nDeep knowledge of developer tools, SDKs, or framework testing and validation methodologies.\nFamiliarity with continuous integration (CI) systems and advanced build automation.\nExperience using Python for test automation, custom tooling, or machine learning pipelines.\n
As an SDET, you will create and maintain sophisticated testing infrastructure that validates the reliability, performance, and inclusivity of Apple's most strategic developer frameworks. Your primary focus will be developing comprehensive, multi-platform test applications to evaluate in-development Swift APIs. Through this work, you will provide vital feedback that ensures developers can seamlessly integrate advanced machine learning capabilities into their apps. You will design and implement automated test suites covering functional, API, integration, and regression testing across all of Apple's platforms (iOS, macOS, tvOS, watchOS, and visionOS).\n
3 years of experience in software testing, with a strong focus on test automation, API testing, and application development.\nProficiency in the Swift programming language (including design patterns, generics, and Swift concurrency), or a strong programming foundation with the eagerness and ability to learn Swift quickly.\nExperience developing and testing for Apple platforms using Xcode, SwiftUI, XCTest, and XCUIAutomation.\nA deep curiosity and excitement for exploring novel approaches to testing Generative AI and machine learning features.\nBachelor's degree in Computer Science, Engineering, or equivalent professional experience.\n
Understanding of large language models (LLMs) and prompt engineering concepts as well as how to leverage them for tooling and development workflows.\nExperience testing machine learning frameworks or other complex, non-deterministic systems.\nDeep knowledge of developer tools, SDKs, or framework testing and validation methodologies.\nFamiliarity with continuous integration (CI) systems and advanced build automation.\nExperience using Python for test automation, custom tooling, or machine learning pipelines.\n