Camera ISP Algorithm Engineer - Pixel Processing

Cupertino, CA, US • Posted 14 hours ago • Updated 1 hour ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Product Innovation
  • Collaboration
  • Quality Assurance
  • Video
  • Signal Processing
  • Sensors
  • Optics
  • Algorithms
  • Image Processing
  • Machine Learning (ML)
  • Prototyping
  • Design Controls
  • ISP

Summary

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: \n\n1. Develop new ISP processing algorithms and control algorithms.\n\n2. Develop algorithms to correct various camera sensor and lens effects.\n\n3. Tune various ISP blocks to improve image and video quality.\n\n4. Setup pixel pipelines effectively for various requirements on quality and power/performance.

Deep understanding of image signal processing for digital cameras.\nGood understanding of camera sensors and optics.\nProven experience in camera imaging algorithm development, using a mix of traditional image processing techniques and machine learning.

Self-driven approach to work and focused on time sensible practices, from problem identification to prototyping solutions and validation.\nExperience with design, control and/or tuning of an ISP pipeline.\nUnderstanding of the various trade-offs involved in defining the image quality coming out of an ISP pipeline.
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: dbb1721a746a5e48eeebfb1140a4569
  • Posted 14 hours ago
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