Creative Intelligence Software Engineer - Camera and Photos
Overview
Application Skills
Application Category Skills
Summary
iPhone is the most popular camera in the world, and the Edit Foundation team is focused on integrating the features and algorithms that turn what it captures into something
extraordinary. We bring together computer vision, image processing, and machine learning into the exciting experiences that define digital photography today — Cinematic HDR
video, Photographic Styles, and generative editing in the Photos app, as featured in multiple keynotes at WWDC.
We build the frameworks and core layers that power these experiences — the abstractions the rest of Photos, and teams beyond it, build on — while integrating new algorithms, from
classical image processing to on-device ML and generative models, to define what comes next. You'll have real ownership over how these features and algorithms come together into
a coherent, best-in-class experience.
Our software runs on every iPhone shipped — we're looking for engineers who want that scale of impact.
Description
Apple's Camera & Photos Edit Foundation team is looking for an experienced software engineer with a proven track record of shipping high-quality software to join an expanding
team building the next generation of image and video editing features across Photos, and beyond.
You bring solid experience integrating complex algorithms and frameworks into production-quality software, sound problem-solving and architectural judgment, and strong
collaboration and communication skills, along with a passion for designing high-quality software.
Minimum Qualifications
5+ years of professional software engineering experience
Object-oriented analysis and design experience
C / C++ / Objective-C / Swift experience
Experience with performance analysis and optimization techniques
Experience with image or video processing technologies
Ability to thrive in a fast-paced, evolving development environment
Prefered Qualifications
Experience with image and video processing applications, methodologies, and best practices