As an SDET you will create and maintain sophisticated testing infrastructure that validates the reliability and performance of Apples most strategic developer frameworks. Your primary focus will be developing comprehensive test automation for FoundationModels ensuring that developers can seamlessly integrate advanced machine learning capabilities into their applications. Youll design and implement automated test suites that cover functional integration and regression testing across iOS macOS and visionOS platforms while collaborating closely with framework engineering teams to understand expected behaviors and track evolving features. Your day-to-day responsibilities will include prioritizing automation results from various testing pipelines validating developer Xcode workflows including Previews and Simulator functionality as well as maintaining robust test harnesses that facilitate comprehensive validation scenarios. Youll work to validate processes for critical testing phases setting up and configuring test environments across multiple platforms and ensuring that build and deployment processes remain stable and reliable. Additionally youll contribute to improving test coverage for new framework features enhance test quality to facilitate easier triage and maintain automated testing pipelines while staying closely aligned with framework development teams to anticipate and validate upcoming functionality changes and improvements.
5 years of experience in software testing with strong focus on test automation
Expert proficiency in Swift programming language design patterns generics and Swift concurrency
Experience developing for Apple platforms using Xcode SwiftUI XCTest and XCUIAutomation
Bachelors degree in Computer Science Engineering or equivalent professional experience
Understanding of large language models (LLMs) and prompt engineering concepts
Experience testing machine learning frameworks or other complex non-deterministic systems.
Deep Knowledge of developer tools SDKs or framework testing and validation methodologies
Familiarity with continuous integration systems and build automation
Experience with Python for test automation tooling or machine learning
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