Computer Vision Software Engineer — Camera Technologies & Systems

iPhone is the most popular camera in the world, with billions of photos captured every year. The seamless integration of software and hardware has led to breakthrough camera features — from the Photonic Engine and Portrait mode to Super-high-resolution photos — delivering magical experiences that surprise and delight our customers. The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. ## Description As an engineer on our team, you will design, develop, and ship the software features that define Apple's camera experience — working side-by-side with the exceptional engineers who made iPhone's camera what it is today. You'll build extraordinary new camera capabilities that span the full universe of Apple devices. Whenever you see a "Shot on iPhone" billboard or press the shutter on your iPhone, you see our work — and it could be your work, too. ## Responsibilities Design, implement, and optimize real-time and near-real-time Computer Vision and video processing algorithms for Apple silicon. Prototype novel computational photography and computer vision features from concept through production. Collaborate closely with cross-functional partners across software, hardware, silicon, and algorithm teams to co-develop groundbreaking camera technologies. Develop evaluation frameworks, metrics, and analysis tools to measure and continuously improve image and video quality. ## Minimum qualifications Strong proficiency in C/C++ and Objective-C/C++; working knowledge of Python for prototyping and analysis. Experience debugging and profiling on resource-constrained or embedded mobile platforms. Domain expertise in computer vision, computational photography, or machine learning — with hands-on implementation experience. Familiarity with modern camera or video processing pipelines. Excellent verbal and written communication skills ## Preferred qualifications Experience with GPU programming using Metal, OpenCL, or CUDA. Track record of shipping camera, imaging, or video features in production systems. Thrives in a highly collaborative, cross-functional environment. MS or PhD in Computer Science, Electrical Engineering, Computer Vision, Machine Learning, or a related field.