Quality Engineer

Apple•San Diego, CA
•Onsite

About The Position

Apple is known for having the highest quality products in the world. We are a fast-paced, dynamic team that never compromises when it comes to delivering a world-class experience to millions of customers around the world. We are seeking a creative and hands-on Quality Engineer to drive the validation of Apple’s next-generation MacBook trackpads and keyboards. In this role, you will do more than just test hardware—you will validate the intelligence that brings our devices to life. You will focus on the invisible logic that translates a simple physical touch into a seamless digital interaction, ensuring the device understands the user's intent perfectly every time. You will join a collaborative team of developers and industry experts, working on everything from early prototypes to mass production.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

Nice To Haves

  • 3+ years of experience in firmware validation, embedded development, or a related technical field.
  • Demonstrated experience with bug hunting, regression testing, and system-level debugging.
  • Experience implementing AI-assisted workflows (e.g., code generation, data analysis, automated testing) and driving their integration into team processes.
  • Ability to understand and test the underlying logic that maps physical inputs to software events (algorithm validation).
  • Strong "quality mindset" with the ability to empathize with the end-user to find bugs that traditional automated tests might miss.
  • Experience designing or programming robotic automation fixtures and integrating them into test frameworks.
  • Proficiency with Python, Bash, Swift, or other scripting languages for test automation.
  • Experience with embedded software architecture (C, Objective-C, C++) and hardware debugging tools (Oscilloscopes, Logic Analyzers).

Responsibilities

  • Architecting new test cases that push our firmware and logic to their limits.
  • Wearing the "customer hat" while applying deep technical knowledge.
  • Identifying scenarios where the code functions as written, but the "feel" or outcome isn't quite right.
  • Acting as a strategic partner to Firmware, Software, and Algorithms Developers, as well as Product Design and Human Factors teams.
  • Using the data you generate to influence design decisions and refine the complex behaviors that define the user experience.
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