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Software QA Engineer - Agentic OS Experiences
Apple, Inc.Cupertino, CA🇺🇸United StatesPosted 12 Aug 2026
Why This Role Stands Out
You can shape the future of AI-powered user experiences at Apple by joining a collaborative team focused on groundbreaking innovation, enjoying hybrid flexibility while developing your skills on challenging, high-impact projects. This role is perfect for critical thinkers with strong QA expertise and a passion for AI who thrive in fast-paced, cross-functional environments. Apply now to be at the forefront of the next generation of device interaction.
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
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.
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
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.
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
Skills
Swift
C++
LLM
Python
Xcode
iOS
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