Senior Computer Vision Architect

Apple

Seattle, WA • 19m ago • On-site

Senior

On-site

205,400 - 374,300 USD/yr

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Potential salary for Senior Computer Vision Architect role

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$205,400 – $374,300/year

Quick Facts

  • Role: Senior Computer Vision Architect (Architecture team)

Description

The Architecture team brings together computer vision algorithms, firmware, and low-level software to deliver real-time, on-device computer vision and machine perception capabilities across Apple products. You will enable co-design of algorithms and systems by navigating trade-offs among algorithm performance, imaging pipelines, system resources, and real-time constraints, while collaborating with experts across firmware, OS, and product domains.

Responsibilities

  • Lead cross-functional initiatives that turn computer vision research into production-ready features
  • Make architecture decisions balancing algorithm performance with imaging pipeline, system resources, and real-time constraints
  • Develop 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 (vision transformers, foundation models, vision-language models) for use in resource-constrained products

Requirements

  • BS degree in Computer Science, Electrical Engineering, or a related field plus at least 20 years of relevant, proven experience
  • Demonstrated experience leading cross-functional initiatives that transformed state-of-the-art computer vision research into production-ready features
  • Strong product mindset focused on architecting solutions that solve real business problems and deliver high customer value
  • Deep understanding of multi-modal perception systems, sensor fusion, and diverse imaging technologies
  • Expertise in one or more computer vision specialties: SLAM, tracking, classification, calibration, PnP-based pose estimation, scene understanding, human representation, image enhancement
  • Leadership skills to drive large cross-functional efforts, resolve conflicts, and present results to highest leadership levels, including bridging algorithm design with low-level optimization for ISP under tight power and latency constraints

Benefits

Not specified in the provided posting.

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