Quality Assurance Automation Engineer - Manufacturing Systems and Infrastructure

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something you'll add something. Manufacturing Systems and Infrastructure (MSI) team is an engineering organisation under the Product Operations org. MSI is responsible for the design, development and maintenance of system tools, services and applications required to efficiently run manufacturing operations at scale across global factory sites.

Description

As a Quality Assurance Automation Engineer with the MSI team, you will leverage Large Language Models and AI-native testing tools to rapidly build, scale, and maintain automated test suites across web, mobile, and API interfaces. You will design intelligent automation frameworks, generate synthetic datasets for edge-case and load testing, and embed smart execution strategies into CI/CD pipelines - all while championing GenAI adoption and best practices across the QA organisation.

Minimum Qualifications

5+ years of experience in QA Automation, System Development in Test (SDET), or a similar engineering role
Expertise in Python, C/C++, Objective-C, and Swift, leveraging modern AI-assisted (vibe coding) development workflows
Deep experience applying AI-powered techniques to generate, optimise, and maintain automated test suites with modern testing frameworks such as Playwright, Cypress, Selenium, Appium, or XCTest
Demonstrated ability to write effective prompts to extract test scenarios, edge cases, and automation code from Large Language Models
Familiarity with AI-powered testing tools (e.g., Applitools Eyes, ReportPortal's ML auto-analyzer, or self-healing UI tools)
Solid understanding of CI/CD pipelines, Docker, and version control (Git)
Ability and willingness to travel up to 30% (domestic and international)
Bachelors / Masters in Computer Science or related fields

Preferred Qualifications

Experience designing and generating synthetic datasets for large-scale load and edge-case testing
Hands-on experience implementing ML/AI-driven smart test-selection or "smart execution" strategies in CI/CD
Experience building and curating prompt libraries or GenAI usage guidelines for a QA or engineering organisation
Excellent written and verbal communication skills, with the ability to partner effectively across product and engineering teams
Self-motivated with a strong ownership mindset and a passion for continuously improving automation coverage and reliability
Strong problem-solving skills with a focus on reducing "flaky tests" through resilient coding and AI insights