ISP Algorithm Engineer - Computer Vision

Apple's Camera Algorithm team is seeking exceptional algorithm engineers to work on image capture and processing/rendering algorithms for all Apple product cameras. This role focuses on developing core camera/ISP/Machine Learning technologies using Apple's custom image signal processing pipeline and hardware components, including the Apple Neural Engine. The position offers an opportunity to shape how Apple cameras capture, process, and render outstanding still image and video quality.

The role involves prototyping, implementing, and productizing embedded computer vision algorithms for ISP processing and capture control. You'll work in a dynamic, fast-paced environment that encourages innovation and collaboration across multiple teams, including Silicon Design, Camera HW/SW, and QA. The position requires expertise in both traditional computer vision techniques and modern learning-based approaches, with a focus on efficiency and performance in embedded systems.

As an ISP Algorithm Engineer, you'll be responsible for developing algorithms from concept to deployment, optimizing for power and processing efficiency, and ensuring they meet performance benchmarks. The role involves extensive collaboration with various teams to integrate algorithms effectively within the broader camera system architecture.

The ideal candidate should have a strong background in computer vision and embedded systems, with proven experience in camera imaging algorithm development. They should be comfortable balancing optimization and performance in resource-constrained environments while keeping up with rapid technological advancements in both Computer Vision and Hardware.

This position offers competitive compensation, including base pay, stock options, and comprehensive benefits. You'll be part of a team that champions product innovation and rapid iteration, with the autonomy to drive significant improvements in Apple's camera technology. The role presents an excellent opportunity for someone passionate about advancing state-of-the-art camera technology while working with cutting-edge hardware and software systems.