Software Development Engineer in Test, Swift Platform Experience
Role details
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Job description
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., 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).
Requirements
3+ years of experience in software testing, with a strong focus on test automation, API testing, and application development.
Proficiency 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.
Experience developing and testing for Apple platforms using Xcode, SwiftUI, XCTest, and XCUIAutomation.
A deep curiosity and excitement for exploring novel approaches to testing Generative AI and machine learning features.
Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
Preferred Qualifications
Understanding of large language models (LLMs) and prompt engineering concepts as well as how to leverage them for tooling and development workflows.
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 (CI) systems and advanced build automation.
Experience using Python for test automation, custom tooling, or machine learning pipelines.
Benefits & conditions
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.