Senior Computer Vision Architect

Quick Facts

• Role: Senior Computer Vision Architect
• Focus: Real-time on-device computer vision and image quality architecture

Description

The Architecture team brings together computer vision algorithms, firmware, and low-level software to deliver production-ready computer vision programs across Apple products. The role enables co-design of algorithms and systems by balancing algorithm performance, imaging pipeline behavior, system resources, and real-time constraints. Success requires both strong engineering and deep collaboration across firmware, OS, and feature/experience domains.

Responsibilities

• Lead cross-functional initiatives that turn computer vision research into production-ready features
• Make architecture decisions balancing algorithm performance against imaging pipeline, system resources, and real-time constraints
• Find creative solutions within system constraints to unlock new perception capabilities and maximize user value
• Partner with hardware, software, and machine learning teams to influence their roadmaps
• Present technical recommendations and results to senior and executive leadership
• Mentor engineers and provide technical direction across algorithm design, ISP, and embedded systems
• Assess emerging techniques such as vision transformers, foundation models, and vision-language models for resource-constrained products

Requirements

• BS degree in Computer Science, Electrical Engineering, or a related field, plus 20+ years of relevant, proven experience
• Proven track record of leading cross-functional initiatives that transform state-of-the-art computer vision research into production-ready features
• Deep product mindset focused on architecting solutions for business problems and high customer value
• Deep understanding of multi-modal perception, sensor fusion, and diverse imaging technologies
• Depth of expertise in one or more computer vision areas (e.g., SLAM, tracking, classification, calibration, PnP-based pose estimation, scene understanding, human representation, image enhancement)
• Strong leadership skills to drive large cross-functional efforts, resolve conflicts, and present results to the highest levels
• Ability to bridge high-level algorithm design and low-level system optimization, especially optimizing Image Signal Processing (ISP) performance under tight power and latency constraints

Benefits

• Opportunity to lead architecture work that connects research with real-time on-device production features
• Technical influence across algorithm design, firmware/low-level software, ISP, embedded systems, and hardware/ML roadmaps
• Mentorship and direction for engineers working across perception algorithms and system optimization