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

Sunnyvale, CA, US • Posted 2 days ago • Updated 7 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Expect
  • Embedded Systems
  • Functional Testing
  • FOCUS
  • User Experience
  • Quality Assurance
  • Software Development
  • Test Methods
  • Test Plans
  • Test Cases
  • Presentations
  • Computer Science
  • Generative Artificial Intelligence (AI)
  • Debugging
  • System Imaging
  • Photography
  • Videography
  • Media
  • IOS Development
  • Xcode
  • Python
  • Bash
  • Swift
  • Scripting
  • Machine Learning (ML)
  • Testing
  • Reporting

Summary

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

3-5 years of experience working as a Software Quality Engineer\nIn-depth knowledge of the software development lifecycle, testing methodologies, and testing tools\nProven experience developing test plans, test cases, and testing architectures that cover functionality and edge cases\nStrong ability to assess risk, file appropriate defects, and provide relevant data for test reporting\nAbility to work independently - triaging problems, prioritizing effectively, raising issues proactively, and driving resolutions\nComfortable presenting analysis and test results clearly to engineering DRIs and cross-functional stakeholders\nBS/MS or equivalent experience in Computer Science or a related field\nFamiliarity with Gen AI coding tools. Demonstrated ability to use them for design, code generation, and debugging.

Experience with camera, media, or imaging software - familiarity with the full capture and playback pipeline is a strong plus\nInterest or passion in photography, videography, or spatial media\nFamiliarity with visionOS, iOS, or Apple's developer ecosystem (Xcode, Radar, etc.)\nProficiency in Python, Bash, and/or Swift for scripting, tooling, or test support\nExperience developing ML-based testing frameworks and leveraging LLM tooling to improve efficiency, coverage, and reporting
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 7d8a0846586b3033b10d2194b4012498
  • Posted 2 days ago
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