Image Quality Validation Engineer - Camera Hardware

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Apple's Camera Hardware Engineering group seeks a Camera Image Quality Validation Engineer to lead ongoing evaluation, benchmarking and characterization of camera products. You will work across teams to define testing approaches, analyze metrics, and drive the validation of next‑generation camera systems.

Preferred candidates hold an MS/PhD with 5+ years of experience and have deep knowledge of image quality metrics, testing methodologies, and exposure to deep learning for image analysis.

Qualifications

• BS in EE, Optics, Color Science or equivalent.

Responsibilities

• Evaluate, benchmark and characterize Apple camera products.

Skills

Matlab/Python programming

Optical lab experience

Bench/test automation

Education

BS in EE/Optics/Color Science or equivalent

Job 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