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Camera Image Quality Validation Engineer - Camera Hardware

Apple
Posted 3 months ago, valid for 20 days
Location

Cupertino, Santa Clara 95015, CA

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking a Camera Image Quality Validation Engineer to join their Camera Hardware Engineering group.
  • The role involves evaluating, benchmarking, and characterizing Apple camera products to enhance image quality.
  • Candidates must have a BS in EE, Optics, Color Science, Physics, and at least 3 years of relevant experience.
  • Preferred qualifications include an MS/PhD in a related field and experience with deep learning for image processing.
  • Salary details were not specified, but candidates should possess knowledge of camera technology and image quality metrics.
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, you’ll help design innovative technology that allows each generation of Apple products to produce photos even more incredible than the last! You’ll 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. The Camera Hardware Engineering group 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, Physics and a mi nimum of 3 years of relevant experience. Image quality and optical lab experience Matlab and Python programming skills Experience with bench or tester automation of data acquisition

Preferred Qualifications


MS/PhD in EE, Optics, Color Science, Physics or equivalent 3+ 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 Familiarity with camera components and functions Understanding of camera ISP pipeline and 3A Knowledge of megapixel CMOS image sensor technology, lens selection and qualification Experience with objective camera bench testing and subjective image quality analysis



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