Apple's 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: \n\n- Scene Understanding and auto exposure ISP algorithm development and ISP tuning.\n\n- Architecture, configuration and pixel processing tuning.\n\n- Tone rendering/grading for targeted display, and remapping between SDR and HDR displays with fidelity. \n\n- Auto white balance and color management. \n\n- Runtime optical flow and image registration and fusion. \n\n- 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 experience.\nISP HW processing pipeline knowledge.\nCamera module optical stack and CMOS Bayer sensor knowledge.
Dedicated and passionate for image quality excellence.\nDeep 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 quality.\nDevotion 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: e49a4e837c279216e42734fec19c3f4e
- Posted 14 hours ago
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