Computer Vision Software Engineer, Camera & Photos
Apple - Cupertino, United States of America
Posted Feb 16, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Computer Vision Software Engineer, Camera & Photos Cupertino, United States of America iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos, which deliver magical experiences that surprise and delight our customers! The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As an engineer on our team you'll develop and extend those software features, working side-by-side with the exceptional engineers who made iPhone's camera what it is today, and build new extraordinary camera capabilities spanning the universe of Apple devices. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work, too! Prototype and develop algorithms for new and improved camera features Work cross-functionally with our partners to ensure best in-class performance Develop methods to analyze and improve results Implement and assess algorithm implementation Minimum Qualifications: Strong background in computational photography. Knowledge and experience using Computer Vision to solve real-world problems. Experience with camera pipeline. Excellent coding skills in C or C++. Strong verbal and written communication skills. MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering Preferred Qualifications: Familiarity with multiple-camera systems and 3D geometry. Experience with Machine Learning
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