Sw User Experience Automation Qe

Apple Apple · Big Tech · San Diego, CA · Software and Services

This role focuses on designing and developing AI-driven automation frameworks to evaluate end-to-end user experiences across Apple platforms, aiming to assess both functional correctness and experiential quality. It involves architecting scalable test infrastructure, translating manual tester expertise into automated scenarios, and integrating emerging technologies like ML, computer vision, and robotics to enhance automation coverage and fidelity. The ultimate goal is to ship software that delights users by providing continuous quality signals that influence product readiness and strategic decisions.

What you'd actually do

  1. Design and develop AI-driven automation frameworks that evaluate end-to-end user experiences across Apple platforms, capturing both functional correctness and experiential quality
  2. Architect and maintain scalable test infrastructure that delivers continuous quality signals to provide real-time insights on software readiness
  3. Partner with manual UX testers to translate their expertise into automated test scenarios, as well as define and track metrics that quantify user experience quality across key use cases
  4. Evaluate and integrate emerging technologies—including machine learning models, computer vision, and robotics—to continuously expand automation coverage and fidelity

Skills

Required

  • Python
  • Java
  • Swift
  • software development lifecycle
  • SQA methodologies
  • automation test plans
  • Continuous Integration tools
  • version control systems
  • test failure analysis
  • issue triage
  • bug prioritization
  • Apple operating systems

Nice to have

  • AI-driven testing approaches
  • intelligent automation
  • robotics-driven testing approaches
  • Xcode
  • XCTest
  • XCUIAutomation
  • manual software testing
  • UI testing
  • UX testing
  • data analytics
  • telemetry systems
  • presenting technical insights

What the JD emphasized

  • AI-driven automation frameworks
  • intelligent systems
  • machine learning models
  • computer vision
  • robotics

Other signals

  • AI-driven automation frameworks
  • intelligent systems
  • machine learning models
  • computer vision
  • robotics