Real-Time Computer Vision Architect

The Video Computer Vision and Video Engineering teams at Apple are seeking a Real-Time Computer Vision Architect to join their centralized applied research and engineering organizations. This role is crucial in developing real-time on-device Image Quality, Computer Vision, and Machine Perception technologies across Apple products. The position requires balancing research and product development to deliver Apple-quality pioneering experiences, innovating through the full technology stack, and partnering with Hardware, Software, and Machine Learning teams.

The Architecture team is responsible for integrating computer vision algorithms, firmware, and low-level software teams to drive exciting programs across multiple Apple products. This involves enabling the co-design of computer vision algorithms and systems through a deep understanding of complexities and trade-offs between algorithm performance, system resources, and real-time constraints, including the optimization of Image Signal Processing (ISP) pipelines.

The ideal candidate will have extensive experience in computer vision, embedded systems, and system architecture, with the ability to optimize algorithms for real-time performance on resource-constrained platforms. They should possess strong leadership skills and be able to communicate effectively with experts across various domains, from firmware and operating systems to high-level algorithm development.

Key responsibilities include architecting computer vision solutions, optimizing ISP pipelines, collaborating with cross-functional teams, and driving innovation in areas such as image enhancement, SLAM, calibration, and scene understanding. The role offers the opportunity to work on cutting-edge technology while contributing to Apple's next generation of products and features.

Benefits include competitive base pay ranging from $175,800 to $312,200, comprehensive medical and dental coverage, retirement benefits, stock programs, and educational reimbursement opportunities. The position is based in Sunnyvale, California, and requires a minimum of 8 years of relevant industry experience.