iPhone is the most popular camera in the world, with billions of photos captured every year. The seamless integration of software and hardware has led to breakthrough camera features — from the Photonic Engine and Portrait mode to Super-high-resolution photos — delivering 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 will design, develop, and ship the software features that define Apple's camera experience — working side-by-side with the exceptional engineers who made iPhone's camera what it is today. You'll build extraordinary new camera capabilities that span the full universe of Apple devices. Whenever you see a "Shot on iPhone" billboard or press the shutter on your iPhone, you see our work — and it could be your work, too.
Responsibilities
Design, implement, and optimize real-time and near-real-time Computer Vision and video processing algorithms for Apple silicon. Prototype novel computational photography and computer vision features from concept through production. Collaborate closely with cross-functional partners across software, hardware, silicon, and algorithm teams to co-develop groundbreaking camera technologies. Develop evaluation frameworks, metrics, and analysis tools to measure and continuously improve image and video quality.
Minimum Qualifications
Strong proficiency in C/C++ and Objective-C/C++; working knowledge of Python for prototyping and analysis. Experience debugging and profiling on resource-constrained or embedded mobile platforms. Domain expertise in computer vision, computational photography, or machine learning — with hands-on implementation experience. Familiarity with modern camera or video processing pipelines. Excellent verbal and written communication skills.
Preferred Qualifications
Experience with GPU programming using Metal, OpenCL, or CUDA. Track record of shipping camera, imaging, or video features in production systems. Thrives in a highly collaborative, cross-functional environment. MS or PhD in Computer Science, Electrical Engineering, Computer Vision, Machine Learning, or a related field.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.