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Embedded Quality Engineer - Camera

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Software Engineer, Embedded Software Engineer
Job Description & How to Apply Below
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.

In this role, you will:

- Independently drive and own testing of camera features across platforms.

-Design test cases and implement test plans related to the functionality, performance, power, stability, and image quality of our camera solution.

-Execute creative manual tests and develop scalable automated tests and test tools that will be integrated with CI/CD pipelines.

-Collaborate with development teams and multi-functional QA teams to triage, diagnose, and debug issues to determine the root cause.

-Identify trends and highlight potential risks.

Familiarity with command-line operation of operating systems such as macOS or Unix/Linux. Strong verbal and interpersonal skills. Experience working on successful, large-volume consumer products Passionate about new technologies with a proactive, detail oriented mindset and dedication to product excellence.

BS and a minimum of 3 years relevant industry experience. 3+ years of QA experience testing embedded system products: developing system/feature-level test plans and test cases and automating these intelligently Solid understanding of development life cycles, QA methodologies, and structured test processes. Proficiency in Python or a similar scripting language. Understanding of camera technologies, image signal processing (ISP) pipeline, 3A, video formats, and color space is a plus.
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