Image Quality Validation Engineer - Camera Hardware
Apple
Apply to this jobDo 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
Summary
Evaluate and benchmark Apple camera products for image quality and performance.
Job title
Image Quality Validation Engineer - Camera Hardware
Experience level
5+ years
Minimum experience
5+ years exp
Industry
technology
Location requirements
Must be located in Cupertino, remote not allowed.
Salary
Not specified
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Cupertino, CA, USA