GPU-Driven Camera Image Processing Engineer

Socket.dev; Cupertino (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple is seeking an Image Processing Engineer to help analyze raw sensor data and clean up images, enabling higher quality photos on hardware and software teams. You will propose novel algorithms for camera pipelines and ensure robust performance on Apple silicon.

The role emphasizes working on GPU-based image processing, ML algorithms, and optimization for the Apple Neural Engine, with a focus on rapid learning and strong engineering judgment.

Qualifications

• Strong programming skills on Apple platforms (Swift, Metal, Objective-C).
• Experience implementing image processing algorithms on GPUs.
• Exposure to machine learning applied to image processing.
• Advanced degree (M.S. or Ph.D.) in Imaging/Color/Vision/Optics/EE with 3+ years in related field.

Responsibilities

• Analyze raw sensor data and identify issues; propose algorithms to address problems.
• Fix problems arising from sensors, optics or control systems (auto focus, IS).
• Develop and optimize traditional ML algorithms running on Apple Neural Engine (ANE).

Skills

Swift

Metal

Objective-C

GPU programming

Image processing

Machine learning

GenAI tooling

Education

M.S./Ph.D. in Imaging/Color/Vision/Optics/EE

Tools

Apple Neural Engine (ANE)

Job description

Apple is seeking an Image Processing Engineer to help analyze raw sensor data and clean up images, enabling higher quality photos on hardware and software teams. You will propose novel algorithms for camera pipelines and ensure robust performance on Apple silicon.

The role emphasizes working on GPU-based image processing, ML algorithms, and optimization for the Apple Neural Engine, with a focus on rapid learning and strong engineering judgment.