About The Position

The AppleCare Field Service Diagnostics Engineering (FSDE) team is seeking an enthusiastic and curious early-career engineer to develop automation solutions and tools that validate diagnostic and repair software across the Apple ecosystem, including Mac, iPhone, iPad, Apple Watch, AirPods, and Apple Vision Pro. The role is suited to a recent or upcoming graduate with a strong computer science foundation, an interest in software quality and automation, and eagerness to learn.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field, or equivalent practical experience.
  • Strong programming fundamentals in Python, Swift, or an equivalent object-oriented language through coursework, internships, or personal projects.
  • Fundamental understanding of software testing concepts, test design, and the software development lifecycle (SDLC).
  • Working knowledge of Unix/Linux command-line environments and Git version control.
  • Strong problem-solving, analytical, and debugging skills.
  • Excellent written and verbal communication skills and eagerness to collaborate in a team environment.

Nice To Haves

  • Prior internship or academic project experience with test automation or UI automation, such as XCTest, XCUITest, pytest, or similar frameworks.
  • Familiarity with CI/CD concepts or tools such as GitHub Actions or Jenkins.
  • Exposure to Apple developer platforms, Xcode, or macOS/iOS system internals.
  • Hands-on interest in hardware-software integration, lab automation, robotics, or basic scripting for device management.
  • Curiosity about applying AI/LLM tooling to improve developer workflows and automated testing.

Responsibilities

  • Contribute to tools and automated test suites that ensure diagnostic and repair systems meet quality and reliability standards.
  • Write automated tests and build helper tools under the mentorship of senior engineers.
  • Support the automated device lab.
  • Participate in technical reviews across multifunctional teams.
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