Camera Image Processing Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$277,600 / yr
Posted: 37 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $214k

$135k most similar roles pay here $293k

This role pays more than 66% of similar roles. Most pay $167,550–$232,300 — the shaded band above. At the midpoint, this role pays about $214k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Camera Image Processing Engineer

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As a Camera Image Processing Engineer within the Camera Technologies & Systems team, you will work to deliver high-quality photos and videos by processing raw data from camera sensors. You will analyze sensor data from early-phase hardware prototypes to identify issues and develop algorithms that mitigate artifacts caused by hardware deficiencies or optics problems. Your daily work involves implementing these solutions on-device for efficient execution on the GPU and designing traditional machine learning algorithms for the Apple Neural Engine. The role requires proficiency in Swift, Metal, and Objective-C, along with experience in graphics programming and image processing pipelines. You will solve complex technical challenges involving auto focus, optical image stabilization, and low-light conditions while utilizing your engineering judgment to develop novel algorithmic solutions rather than applying known recipes for the camera system.

Skills

Metal Swift Objective-C Image Processing Machine Learning Apple Neural Engine (ANE) Computer Vision Graphics Programming Algorithm Development GenAI High-throughput Compute

What you'll do

Analyze raw sensor data from camera modules to identify and resolve image artifacts.
Develop algorithms to mitigate issues caused by hardware deficiencies, optics, or control systems.
Implement image processing algorithms on-device optimized for GPU execution.
Work with early-phase hardware prototypes to gather and evaluate sensor information.
Design and deploy traditional machine learning algorithms specifically for the Apple Neural Engine (ANE).
Optimize high-throughput compute workloads to ensure efficient performance on mobile hardware.
Solve novel problems by developing original algorithms rather than applying standard recipes.

What we're looking for

MS or PhD in Imaging, Color, Vision, Computer, Optics Science, EE, or a related field.
3+ years of experience in a related field.
Strong programming skills in Swift, Metal, and Objective-C on Apple platforms.
Experience with image processing algorithms implemented on GPUs.
Graphics programming experience involving direct work with pixels.
Exposure to machine learning as applied to image processing.
Experience optimizing GPU workloads for high-throughput compute.
Understanding of photography principles and camera image processing pipelines.