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  4. Image Quality Validation Engineer - Camera Hardware

Image Quality Validation Engineer - Camera Hardware

Apple
Posted 4 days ago, valid for 21 days
Location

Cupertino, CA 95015, US

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, focusing on the design and evaluation of camera technology.
  • The ideal candidate should have a minimum of a BS in Electrical Engineering, Optics, Color Science, or a related field, along with programming skills in Matlab and/or Python.
  • Preferred qualifications include an MS or PhD in a relevant field and at least 3 years of industry experience, especially in image quality metrics and evaluation methodology.
  • The role involves collaboration across teams to drive the development of next-generation camera hardware and requires familiarity with camera components and functions.
  • Salary details are not specified, but significant experience in the industry is essential for this position.
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始ll help design innovative technology that allows each generation of Apple products to produce photos even more incredible than the last! You始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. 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 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 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


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