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.
Requirements
Self-driven approach to work and focused on time sensible practices, from problem identification to prototyping solutions and validation.
Experience with design, control and/or tuning of an ISP pipeline.
Understanding of the various trade-offs involved in defining the image quality coming out of an ISP pipeline.
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.
Pay & Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Additional Information
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.
Apple · Cupertino, CA