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Software QA Engineer - Agentic OS Experiences

Apple · Cupertino, CA
Full-timeTechnologyMid Level$102,000–$138,000/yr
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About the Software QA Engineer Agentic OS Experience role

Software QA Engineer Agentic OS Experience positions focus on delivering results in their domain. This page aggregates open Software QA Engineer Agentic OS Experience roles and what employers typically expect.

We're a small team at Apple betting on what comes next. We believe Al will fundamentally change how people interact with their devices — and we're looking for a Software QA Engineer who wants to help build that future. We can't say much about what we're building for our customers. What we can say: the problems are genuinely new and the potential reach is enormous. Beyond the work, we're a collaborative, humble, and curious group that loves learning from each other and building together. We're looking for critical thinkers who would like to play a key role qualifying critical software and the frameworks that support it during all stages of software development. We practice nimble, fast-paced development that relies heavily on a tight relationship between Engineering, Project Management, and QA. ## Description You'll work alongside a tight group of engineers, designers, and researchers to bring AI features from early prototype to product. This is 0-to-1 work - from a rough idea on a whiteboard to software running on real devices. You'll have a lot of autonomy in how you get there. You'll grow here. The work is hard enough to demand it and the team is generous enough to support it. ## Responsibilities Design, author, maintain grey-box tests that exercise AI integration with Apple's software platforms Automate, execute, and maintain various new user facing features that leverage AI Take care of features by executing regression suites and filing any issues found Collaborate with engineering and project managers to prioritize fixing the correct issues Risk analysis, cross-functional testing coordination, and integration testing across the system Maintain a qualitative, high level understanding of area of responsibility ## Minimum qualifications Proficiency in one or more scripting/programming languages (Python, Swift, C/C++, etc) Passionate about leveraging AI to improve how work gets done, enhance productivity, and strengthen decision-making Excellent knowledge and experience with test methodologies (unit testing, integration testing, performance testing, functional testing, etc) Ability to investigate, debug and triage difficult problems both independently and cooperatively Track record of working cross-functionally and building strong partnerships amongst teams and individuals Excellent written and verbal communication skills to facilitate close interaction with development teams, management, and other cross functional teams within Apple BA/BS in Computer Science or 5+ years of professional experience in grey-box testing and test automation ## Preferred qualifications Experience using Xcode to write, triage, and debug automation scripts, as well as test harness enhancements Experience developing API and UI test automation using XCTest/XCUITest An enthusiasm for user-focused design and high-quality products with willingness to work in ambiguous environment Deep experience in one or more iOS/macOS domains: system services, frameworks, or concurrent application architecture You've tested LLM-powered systems yourself — agents, tool orchestration, prompt engineering — and you have opinions about what worked and what didn't Close to the frontier. You're the person your team comes to when a new model drops or a new technique emerges A sharp eye for detail. You notice what's off and you know when it's right A point of view on where human-AI interaction is headed — and the instinct to know what it should feel like when it gets there

Salary estimate

$102,000 – $138,000/yr
Provided by the employer.

Skills for this role

PythonC++LLMProject ManagementCommunicationQAAutomationSwift

Resume tips for Software QA Engineer Agentic OS Experience applicants

Interview preparation

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Research the employer's product and recent news before the interview.

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