Camera Embedded Software Engineer

Apple Inc.
Cupertino, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$184,700.0
Working hours
Regular working hours

Tech stack

Systems Engineering C++ (Programming Language) Software Quality Software Debugging Embedded Software Firmware Machine Learning Real-Time Operating Systems Signal Processing Low Latency Bare Metal

Job description

Own the architecture and implementation of next-generation camera firmware - from early prototyping through mass production.

Develop and optimize ISP and ML algorithms powering Apple’s most advanced photo and video features.

Profile, debug, and drive improvements in performance, latency, and power efficiency across the full camera stack.

Partner directly with silicon, algorithms, and systems teams to co-design hardware-software interfaces that unlock new imaging capabilities.

Drive architectural decisions that scale across Apple’s entire device portfolio - your designs ship in hundreds of millions of devices.

Contribute to a culture of technical excellence through design reviews, mentorship, and cross-functional collaboration.

Requirements

You thrive on solving complex technical challenges and turning ideas into elegant, efficient software.

You take pride in writing clean, maintainable, high-performance code - and you enjoy helping others do the same.

You’re curious, collaborative, and motivated by impact - you want your work to matter, and here, it ships to hundreds of millions of people.

You’re energized by working across disciplines - partnering with silicon architects, algorithm researchers, and systems engineers to build something none of you could alone., 10+ years of experience in embedded software development.

Deep understanding of image and video signal processing, including ISP tuning pipelines or camera HAL development.

Experience with camera systems, machine learning for imaging, or sensor data processing.

Exposure to multi-camera systems or computational photography features such as HDR, Night Mode, or depth sensing.

Interest in or experience with AI-assisted development tools and workflows.

Minimum Qualifications

BS and a minimum of 10 years relevant industry experience.

Proficiency in C/C++ with a strong emphasis on performance, memory safety, and code quality.

Experience developing and debugging on ARM-based SoCs or DSPs.

Familiarity with real-time operating systems (RTOS) or bare-metal environments.

Excellent analytical, debugging, and problem-solving skills.

Benefits & conditions

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 $184,700 and $324,800, 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

About the company

At Apple, we don’t just build products - we craft experiences that redefine what’s possible. The Video Engineering team is behind the cutting-edge camera and imaging technologies that power hundreds of millions of iPhones, iPads, and Macs around the world. From capturing cinematic video to enabling breakthrough computational photography, we’re shaping how people see and share their world.

Apply for this position

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