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Apple

Camera Software Engineer, Camera & Photos

23 days ago• Cambridge, United Kingdom

About us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

★ 3.7 out of 5 · 120 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Manufacturing
View company profile ›

Why you should apply for a job to Apple:

  • Ranked as one of the Best Technology Companies in 2020
  • 3.7/5 in overall job satisfaction
  • 3.1/5 in supportive management
  • 66% say women are treated fairly and equally to men
  • 65% would recommend this company to other women
  • 66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos, which deliver magical experiences that surprise and delight our customers!

The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning.

Description
As an engineer on our team you'll develop and extend those software features, working side-by-side with the exceptional engineers who made iPhone's camera what it is today, and build new extraordinary camera capabilities spanning the universe of Apple devices. Whenever you see a "Shot on iPhone" billboard, you see our work; it could be your work, too!","responsibilities":"Implement and assess realtime and near-realtime camera image processing algorithms on Apple hardware.
Prototype and develop performant algorithms with cross-function teams.
Work with our partners across Apple to ensure best in-class performance.

Preferred Qualifications
Strong experience in real-time algorithm development on GPU.
Experience with computer vision systems.
Experience with machine learning concepts and implementation.
MS/PhD in Computer Science, Electrical Engineering, Computer Vision, Machine Learning.

Minimum Qualifications
Strong background in computational photography.
Experience with the modern camera pipeline.
Excellent coding skills in C or C++.
Strong verbal and written communication skills.

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Additional Information

  • Posted: 23 days ago
Apply on company site
Apply on company site

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