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Camera Algorithms Engineer

Apple


Job Location:

Cupertino, CA - USA

Monthly Salary: Not provided by the employer
Posted: 6 November 2026 (Yesterday)
Application Deadline: 3 February 2027
Vacancies: 1 Vacancy

Job Summary

Apples Camera Algorithm team is looking for extraordinary engineers to work on the image capture and processing/rendering algorithms that serve all Apple product 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 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 fosters 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 the Silicon Design Camera HW and QA. Our team environment is multifaceted fast-paced and requires a self-starter attitude.

In the algorithm developer role you will engage tasks in one or more of following fields: nn- Scene Understanding and auto exposure ISP algorithm development and ISP - Architecture configuration and pixel processing - Tone rendering/grading for targeted display and remapping between SDR and HDR displays with fidelity. nn- Auto white balance and color management. nn- Runtime optical flow and image registration and fusion. nn- Machine learning solution development for real time image processing with low latency and low power consumption.

MS degree in Electrical Engineering Computer Science Math Physics or similar field. nHands-on run time ISP algorithm development HW processing pipeline module optical stack and CMOS Bayer sensor knowledge.

Dedicated and passionate for image quality understanding and appreciation of sensor characteristics optics and image signal processing of the mobile imaging system and their influence nuance to final image and video to disciplined and time sensible practice from problem identification to concept validation and engineering implementation with tools of theories and image processing techniques including machine learning.

Required Experience:

IC


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Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

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