Camera Algorithms Engineer

Santa Clara Valley (Cupertino), California, United States


Role Number: 200070916
Apple's Camera algorithm team is looking for extraordinary algorithm engineers to work on the image capture and rendering algorithms that serve all Apple product cameras. As part of the team, you would work on core camera/ISP/Machine learning technologies based on Apple designed 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 superior 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. You will work closely with various teams, like the Silicon Design, camera HW, and QA. The team environment is dynamic, fast-paced and requires a self-starter attitude.

Key Qualifications

  • Passionate for image quality excellence
  • Deep 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
  • Devotion 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


In the algorithm developer role, you will engage tasks in one or more of following fields: 1. Scene Understanding and auto exposure. 2. Tone rendering/grading for targeted display, and remapping between SDR and HDR displays with fidelity 3. Auto white balance and color management 4. Image processing pipeline architecture, configuration, and pixel processing tuning 5. Machine learning solution development for real time image processing, with low latency and low power consumption.

Education & Experience

MS/PhD in Computer Science, Electrical Engineering, or Imaging Science, Ph.D preferred.

Additional Requirements