Camera Algorithms Engineer

Apple • Cupertino, CA

2d

About The Position

Apple’s Camera Algorithm team is seeking engineers to develop image capture, processing, and rendering algorithms for Apple product cameras. The role focuses on core camera, image signal processing (ISP), and machine learning technologies built around Apple’s image-processing pipeline and hardware components, including the Apple Neural Engine. The engineer will help define how Apple cameras capture, process, and render still images and video.

The team works closely with Silicon Design, Camera Hardware, QA, and other groups in a fast-paced, collaborative environment. The position involves work in one or more areas, including scene understanding and auto-exposure algorithms, ISP development and tuning, pixel processing, tone rendering, color management, image registration and fusion, and machine-learning solutions for real-time image processing.

Requirements

• Master’s degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a similar field.
• Hands-on runtime ISP algorithm development experience.
• Knowledge of ISP hardware processing pipelines.
• Knowledge of camera-module optical stacks and CMOS Bayer sensors.
• Strong dedication to image-quality excellence.
• Deep understanding of sensor characteristics, optics, and image signal processing in mobile imaging systems and how they influence final image and video quality.
• Disciplined, time-sensitive approach to problem identification, concept validation, and engineering implementation.

Responsibilities

• Develop scene-understanding and auto-exposure ISP algorithms and tune ISP behavior.
• Work on ISP architecture, configuration, and pixel-processing tuning.
• Develop tone rendering and grading for targeted displays, including faithful remapping between SDR and HDR displays.
• Develop auto white balance and color-management solutions.
• Work on runtime optical flow, image registration, and image fusion.
• Develop machine-learning solutions for real-time image processing with low latency and low power consumption.
• Identify image-quality problems and take solutions through concept validation and engineering implementation using theory and image-processing techniques.

What This Job Offers

• Job Type: Full-time