Software QA Engineer - Photos, Spatial Media, u0026 Camera Apps, Vision Products Software

Apple's Vision Products Group is seeking a Software Quality Engineer to drive quality for next-generation spatial computing experiences on vision

OS. You'll act as the voice of the end-user within a high-performing engineering team, ensuring that complex, graphically rich applications meet the exceptional standard our customers expect from every Apple product. Your work will directly shape experiences enjoyed by millions of people worldwide.

In this role, you'll be embedded alongside software engineers, EPMs, and cross-functional QA partners - deeply learning the technology you test and translating that knowledge into rigorous testing strategies. You'll work on some of the most visually and technically demanding applications on any Apple platform, requiring a sharp eye for edge cases, genuine technical curiosity, and a relentless focus on the end-user experience - where the bar isn't just whether something works, but whether it feels right.

Experience with camera, media, or imaging software - familiarity with the full capture and playback pipeline is a strong plus Interest or passion in photography, videography, or spatial media Familiarity with vision

OS, iOS, or Apple's developer ecosystem (Xcode, Radar, etc.) Proficiency in Python, Bash, and/or Swift for scripting, tooling, or test support Experience developing ML-based testing frameworks and leveraging LLM tooling to improve efficiency, coverage, and reporting

3-5 years of experience working as a Software Quality Engineer In-depth knowledge of the software development lifecycle, testing methodologies, and testing tools Proven experience developing test plans, test cases, and testing architectures that cover functionality and edge cases Strong ability to assess risk, file appropriate defects, and provide relevant data for test reporting Ability to work independently - triaging problems, prioritizing effectively, raising issues proactively, and driving resolutions Comfortable presenting analysis and test results clearly to engineering DRIs and cross-functional stakeholders BS/MS or equivalent experience in Computer Science or a related field Familiarity with Gen AI coding tools.

Demonstrated ability to use them for design, code generation, and debugging.