Real-Time Computer Vision Architect

Real-Time Computer Vision Architect

Sunnyvale, California, United States

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.

Description

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 collaboratorcomfortable 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?

Minimum Qualifications

• BS in Computer Science, Electrical Engineering, or other relevant fields with a minimum of 8 years relevant proven experience.
• Validated ability to work in a highly multi-functional environment at the intersection of computer vision, embedded systems, ISP, mechanical and electrical engineering, optical science, human factors or similar.
• Proven track record in developing and improving CV perception algorithms and ISP pipelines.
• Demonstrated experience in optimizing computer vision algorithms for performance, power, and memory on embedded platforms.
• Strong understanding of perception sensing technologies including color and monochrome cameras, depth sensors, and IMUs.

Preferred Qualifications

• Breadth of knowledge in some areas of computer vision including either classical methods or ML.
• Experience in translating ambiguous, high-level product goals into detailed feature-level architectures and system requirements.
• Strong leadership skills to drive large multi-functional efforts, resolve conflicts, and present results to the highest levels of Apple leadership.
• Experience in optimizing and fine-tuning ISP pipelines.
• Exposure to modern innovative techniques including vision transformers, foundation models, and vision-language models.
• Proficiency in debugging and optimizing performance at the firmware or OS level.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.