Image Quality Validation Engineer - Camera Hardware
Apple • Cupertino, California, United States
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Role & seniority
- Camera Image Quality Validation Engineer (seniority not explicitly stated; preferred: 5+ years with MS/PhD)
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Stack/tools
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Matlab and/or Python
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Optical lab environment
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Bench/tester automation for data acquisition
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Image-quality evaluation tooling/bench workflows (plus preferred: deep learning tooling for vision tasks)
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Top 3 responsibilities
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Ongoing evaluation, benchmarking, and characterization of Apple camera products
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Define and run image quality validation using established image quality metrics and methodologies
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Automate data acquisition and perform both objective and (preferred) subjective image quality analysis
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Must-have skills
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BS in EE / Optics / Color Science (or equivalent)
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Matlab/Python programming
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Experience working in an optical lab
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Ability to automate bench/tester data acquisition
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Nice-to-haves
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MS/PhD and 5+ years relevant industry experience
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Deep knowledge of image quality metrics and evaluation methodology
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Deep learning for segmentation/object recognition/abnormal detection
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Familiarity with camera components/functions, ISP pipeline, and 3A
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Experience with megapixel CMOS sensors, lens selection/qualification
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Objective bench testing and subjective image quality studies
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Location & work type
- Not specified in the provided text.
Full Description
Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of the Camera Architecture, youʼll help design innovative technology that allows each generation of Apple products to produce photos even more incredible than the last! Youʼll collaborate with teams across Apple to explore, define and drive the development of next-generation camera.
DESCRIPTION
The Camera Hardware Engineering group is responsible for all research, design, development, test, and qualification of camera hardware for Apple products. This team is seeking an exceptional Camera Image Quality Validation Engineer with responsibilities for ongoing evaluation, benchmarking and characterization of Apple camera products.
MINIMUM QUALIFICATIONS
BS in EE, Optics, Color Science or equivalent Experience with Matlab and/or Python programming skills Experience with working in an optical lab Experience with bench or tester automation of data acquisition
PREFERRED QUALIFICATIONS
MS/PhD in EE, Optics, Color Science or equivalent and 5 or more years of relevant industry experience Deep understanding of image quality metrics and evaluation methodology Experience with deep learning for image segmentation, object recognition and abnormal detection Experience with camera components and functions Experience with camera ISP pipeline and 3A Experience with megapixel CMOS image sensor technology, lens selection and qualification Experience with objective camera bench testing and subjective image quality analysis
