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Image Quality Validation Engineer - Camera Hardware

$147.4k - $272.1k

Apple

Image Quality Validation Engineer - Camera Hardware Cupertino, California, United States Hardware 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. This team is seeking an exceptional Camera Image Quality Validation Engineer with responsibilities for ongoing evaluation, benchmarking and characterization of Apple camera products. Responsibilities Work closely with cross‑functional team, support the entire development cycle of Apple cameras, from early prototype to product launch Lead image quality validation at component and system levels Comprehensively characterize and quantitatively assess camera performance and image quality Feedback and contribute to refinement and improvement of camera design and process Develop image processing algorithm for image quality metrics Incubate new metrology for next‑generation Apple products and support technology transfer from lab to production sites Deliver executive level presentations of results 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 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. You’ll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for formal education related to advancing your career at Apple, including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Vacancy posted 5 hours ago
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