The Camera Technologies & Systems team is seeking a strong software engineer to enhance camera capabilities across Apple devices. This role involves developing and optimizing deep neural networks and GPU-based image processing algorithms using Metal. The engineer will collaborate closely with research and frameworks teams to integrate advanced computer vision and computational photography algorithms. This position offers the opportunity to contribute to the quality of photos and videos that delight customers worldwide.

• 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
• Familiarity with GPU programming in Metal, OpenGL(ES), OpenCL, or CUDA
• Excellent verbal and written communication skills

• Develop and extend software pipelines for camera technologies
• Implement and optimize deep neural networks for image processing
• Collaborate with research and frameworks teams on algorithm integration
• Provide feedback to the hardware architecture team for future chip designs
• Thrive in a collaborative team environment while building software together
• Focus on details that enhance customer experiences

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.