Embedded Quality Engineer - Camera

AppleCupertino, CA

About The Position

We are looking for an experienced and outcome-driven Embedded Quality Engineer - Camera to ensure that we deliver the best-in-class camera/ISP solution for Apple products! In this role, you will play a critical part in qualifying camera firmware and drivers, ensuring we ship a high-quality product that delights and inspires millions of Apple customers every day. As a member of our fast-paced group, you will have the outstanding and exciting opportunity to contribute to the development of upcoming products. This is a chance to make a significant impact on the camera experience for a global audience.

Requirements

  • BS and a minimum of 3 years relevant industry experience.
  • 3+ years testing embedded systems, including authoring system and feature-level test plans
  • Experience building test automation for embedded or firmware targets
  • Proficiency in Python or a comparable scripting language
  • Comfortable in macOS or Linux command-line environments
  • Solid grounding in QA methodology and structured test process

Nice To Haves

  • Experience shipping high-volume consumer hardware
  • Hands-on image quality evaluation using charts, light boxes, or measurement equipment
  • Experience with pre-silicon or early hardware bring-up validation
  • Familiarity with debugging firmware via logs, traces, and instrumented builds
  • Working knowledge of camera or imaging fundamentals: ISP pipeline, 3A, video formats, or color spaces
  • Demonstrated use of with AI-assisted engineering tools and prompt construction to develop tools (e.g test authoring, log analysis, debugging ) to increase engineering throughput, plus a willingness to adopt new AI workflows into day-to-day test development

Responsibilities

  • Own end-to-end testing for assigned camera features across multiple platforms
  • Design and execute test plans covering functionality, performance, power, stability, and image quality
  • Build scalable automated tests and test tooling integrated with CI/CD pipelines
  • Perform exploratory manual testing to surface issues automation misses
  • Triage, reproduce, and root-cause defects in partnership with firmware and driver teams
  • Analyze results across builds to identify regressions, trends, and release risk
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