Image Quality Validation Engineer - Camera Hardware
Apple
Other Engineering, Quality Assurance
Cupertino, CA, USA
USD 147,400-272,100 / year + Equity
Posted on May 5, 2026
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.
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.
- 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
- 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
- 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