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Apple's Image Quality Lab is seeking a results-driven automation engineer to design, build, and present analyses of camera image quality investigations. You will develop custom automation solutions for the Camera Imaging lab and collaborate with cross-functional teams to influence iPhone camera performance.
The role requires hands-on experience with imaging quality metrics, lab automation, and programming in C++/Python/Swift, along with a BS in a related field.
The Image Quality & Qualification team at Apple is seeking a results driven image quality lab automation engineer to help us test and evaluate the full camera system. In this position, you will design, build, conduct, and present analysis of Camera Image Quality investigations - both objective and subjective. You will also develop custom automation solutions for our Camera Imaging lab. Your collaboration with cross-functional Camera teams at Apple will directly influence the performance and image quality of Apple’s iOS cameras.
As an Image Quality Lab Automation Engineer in Camera & Photos, you will play a critical role in ensuring that Apple cameras produce best-in-class image quality. Your primary responsibilities include designing custom lab tests for novel features, algorithms, or hardware solutions and analyzing the results to influence major decisions across various Apple camera teams. This role requires the ability to understand basic image quality (objective & subjective), some knowledge of camera hardware & firmware design, software automation in a lab environment, and an enthusiasm for building bespoke solutions. The ideal candidate thrives in some ambiguity, is not afraid to challenge assumptions, and has a passion for camera image quality.
Real world experience building automation systems with coding models (Opus/Gemini/GPT) and coding harnesses like Claude Code, Codex, CursorExpertise in at least one of the following: Bash, Python, MATLAB, Swift, C++Technical familiarity with imaging algorithms and pipelinesExceptional written and verbal communication skills with experience in cross-functional collaborationWorking knowledge of photography and camera terminologyFamiliarity with ISO standard Image Quality Metrics and their associated chartsBS degree in Computer Science, Software Engineering, Imaging Science, or a related field
Deep expertise in camera image quality metrics on consumer devicesKnowledge or research experience in psychophysicsHands‑on experience in mobile camera system debuggingDeep expertise in camera algorithms and image pipelinesExperience with 3A algorithm designPhotography expertise