Camera ISP Algorithm Engineer - Pixel Processing
Apple - Cupertino, United States of America
Posted Apr 21, 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
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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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
Camera ISP Algorithm Engineer - Pixel Processing Cupertino, United States of America Apple's Camera Algorithm team is looking for highly motivated and self-driven algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple products' cameras! As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Image Signal Processor (ISP) or Apple Neural Engine. Here you will have the chance to define the way the Apple camera captures, processes, and renders outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration, at both team and multi-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, like Silicon Design, Camera HW, and QA. Our team environment is dynamic, fast-paced and requires a self-starter demeanor. You will engage in one or more of following tasks in order to improve the Apple cameras' video and image quality: 1. Develop new ISP processing algorithms and control algorithms. 2. Develop algorithms to correct various camera sensor and lens effects. 3. Tune various ISP blocks to improve image and video quality. 4. Setup pixel pipelines effectively for various requirements on quality and power/performance. Minimum Qualifications: Deep understanding of image signal processing for digital cameras. Good understanding of camera sensors and optics. Proven experience in camera imaging algorithm development, using a mix of traditional image processing techniques and machine learning.
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