Job Details

Weekly Hours: 40

Role Number: 200653138-0836

Summary

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, machine learning, and artificial intelligence. As an engineer on our team you'll develop and extend those software pipelines, working side-by-side with the world-class engineers who made iPhone’s camera what it is today, and build new great 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.

Description

If you consider yourself an engaging and highly-collaborative engineer with excellent communication skills, and are comfortable in a dynamic environment, we have a rewarding opportunity for you. We’re looking for a strong software engineer to help implement and optimize deep neural networks, and combine them with GPU-based image processing algorithms using Metal, to make photos look good. In this role, you will work closely with research and frameworks teams on integration of computer vision and computational photography algorithms in a performance- and memory-sensitive environment. You will then feed this experience back to the hardware architecture team to help drive future chip designs.

Minimum Qualifications

• Strong programming skills, especially in Objective-C or C++ Experience with Unix/Linux, preferably macOS or iOS

• Proficient with debugging techniques, preferably on embedded mobile platforms

• Familiar with image processing concepts and algorithms

• Skilled with performance and memory optimization

• A CS degree or years of relevant experience

Preferred Qualifications

• Familiarity with GPU programming in Metal, OpenGL(ES), OpenCL, or CUDA

• Thrive in a collaborative team, building software together

• Excellent verbal and written communication

• Focus on details that are meaningful to our customers

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .