Real-Time Computer Vision Architect
About The Position
The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception and Image Quality, technologies across Apple products. We balance research and product to deliver Apple quality, groundbreaking experiences, innovating through the full stack, and partnering with HW and SW teams to influence SW architecture, sensors, silicon, PD/ID roadmaps that brings our vision to life.The Architecture team within our organization is responsible for bringing together computer vision algorithms, firmware, and low-level software teams to drive some of the most exciting programs across many Apple products! We do this by enabling the co-design of computer vision algorithms and systems through a deep understanding of the complexities and trade-offs between algorithm performance, imaging pipeline, system resources, and real-time constraints. To be successful in this role, you not only have to be an excellent engineer, but also a phenomenal collaborator-comfortable communicating with a wide range of experts and leaders across many different domains, from firmware and OS to feature and experience. Are you ready to be a part of the next big thing at Apple?Breadth of knowledge in some areas of computer vision including either classical methods or ML. These areas may include Image Enhancement, SLAM, calibration, scene understanding, gaze tracking, human representation, and activity recognition.
Requirements
- Experience in translating ambiguous, high-level product goals into detailed feature-level architectures and system requirements.
- Proven ability to derive defensible end-to-end requirements at the system level and decompose them into module/component specific requirements that include firmware, ISP, and OS constraints.
- Strong leadership skills to drive large multi-functional efforts, resolve conflicts, and present results to the highest levels of Apple leadership.
- Demonstrated ability to bridge the gap between high-level algorithm design and low-level system optimization-including the challenges of optimizing ISP performance under tight power and latency constraints.
- Experience in optimizing and fine-tuning ISP pipelines, including tasks like noise reduction, color correction, demosaicing, and dynamic range enhancement.
- Proficiency in debugging and optimizing performance at the firmware or OS level, with specific expertise in tuning ISP performance to ensure tight integration between hardware capabilities and algorithmic performance.
Nice To Haves
- Ideal candidates will also have exposure to modern innovative techniques including vision transformers, foundation models, and vision-language models, with a focus on integrating these methods into resource-constrained environments.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
