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Description
We are looking for candidates with some basic image processing experience, and some familiarity with writing code on GPUs. In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to handle any problems. You can be called upon to fix problems arising from sensors, optics or control systems (such as auto focus and optical image stabilization). As such we do not expect you to be an expert on these things - there are too many to know them all! But we are looking for candidates with a demonstrated capability for creative thinking and quick learning. We increasingly use GenAI tools to help accelerate coding, but every change goes through a human review layer, so strong engineering judgment matters as much as raw output. Our team also designs traditional ML algorithms that run directly on the Apple Neural Engine (ANE).
Minimum Qualifications
Strong programming skills, particularly on Apple platforms - notably Swift, Metal, and Objective-C. Some experience with image processing algorithms implemented on GPUs. Graphics programming experience - comfortable working directly with pixels. Exposure to machine learning, particularly as applied to image processing. M.S. or Ph.D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of experience in a related field.
Preferred Qualifications
An understanding of photography and what makes an image look good or bad. Photography in challenging conditions, such as low-light or high movement is particularly useful. Experience with an existing camera image processing pipeline. Strong experience with optimizing GPU workloads to run efficiently. Experience with performance-oriented, high-throughput compute. A demonstrated track record of algorithm development - solving novel problems rather than applying known recipes. Experience designing or deploying traditional ML algorithms that run on the Apple Neural Engine (ANE).
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