Senior Software Qa Engineer, Siri Client Platforms

Apple Apple · Big Tech · Cupertino, CA +1 · Software and Services

Senior Software QA Engineer for Siri Client Platforms at Apple, focusing on spatial computing and immersive technologies. The role involves defining and driving quality strategy, building automation frameworks, collaborating with cross-functional teams, and improving quality workflows using tools like Claude. Requires strong experience in software quality engineering, test automation, and working with ML/data science teams.

What you'd actually do

  1. Own End-to-End Quality - Define, drive, and maintain the overall quality strategy for the VisionOS platform, from early development through release.
  2. Build Automation Frameworks- Design, develop, and maintain robust, scalable, and dependable automation solutions to accelerate testing and evaluation processes.
  3. Cross-Functional Collaboration - Work closely with Product, Design, and International teams to ensure new features meet the highest quality bar before release.
  4. Test Strategy & Planning - Lead test planning, risk analysis, and quality reviews across multiple concurrent feature work streams.
  5. Metrics & Reporting - Define quality KPIs, track trends, and communicate quality health to stakeholders and leadership.

Skills

Required

  • software quality engineering
  • test automation frameworks
  • agile/iterative development environment
  • collaboration with engineering, machine learning, and data science teams
  • software revision control (e.g. Git)
  • CI/CD systems (e.g. Jenkins)
  • planning skills

Nice to have

  • spatial computing
  • AR/VR
  • platform-level quality engineering
  • building tooling solutions with Claude tools
  • passion for quality assurance
  • analytical and problem-solving skills
  • data-driven mindset

What the JD emphasized

  • 7+ years of software quality engineering experience, with at least 2 years in quality lead or tech lead role.
  • Strong hands-on experience building and scaling test automation frameworks.
  • Demonstrated success in collaborating cross-functionally with engineering, machine learning, and data science teams to solve complex challenges.