About this role
iPhone is the most popular camera in the world with billions of photos taken every year and we're looking for someone with a real passion for photography to help make them shine. The seamless integration of software and hardware has led to features like Night Mode, Live Photos, Apple ProRAW, SmartHDR, and Portrait Mode, which deliver magical experiences that surprise and delight our customers. The Camera SW Image Quality team is seeking a highly skilled and innovative engineer who will play a key role in tuning and defining still image quality as well as camera feature experiences. You will be working side-by-side with the world-class engineers that build exceptional camera systems spanning the universe of Apple devices.
As a Camera Tuning & Image Quality Engineer, you will play a pivotal role in shaping the image quality and user experience of Apple's camera products.
Working within our fast-paced, collaborative team, you will contribute to cutting-edge technologies such as Deep Fusion, SmartHDR, Night Mode and Portrait Mode. You will also participate in quality evaluations for new features and algorithms, providing direct feedback to the engineering teams.
Minimum Qualifications
Minimum of 2 years of experience in image quality testing, tuning, or image processing algorithms.
Strong understanding and hands-on experience with 3A’s, denoising, sharpening, fusion, and tone-mapping algorithms.
Technical familiarity with machine learning and image processing technologies.
Excellent photography, videography, and cinematography skills.
Proficiency in at least one of the following: C, C++, Objective-C, Swift, Python, or shell programming.
Exceptional written and verbal communication skills with experience in cross-functional collaboration.
Bachelor’s Degree in Imaging Science, Imaging Technology, Computer Science, Computer Engineering, Electrical Engineering, Color Science, or a related field.
Preferred Qualifications
Experience in the research, design, and development of automation tools, metrics, and methodologies to enhance the camera tuning processes.
Experience integrating LLMs into AI workflows for data analysis, debugging, documentation, tool development, and automation
Experience with software and hardware on consumer devices and cell phone cameras.
Experience with iOS/macOS app development.
Knowledge or research experience in human vision and psychophysics.