Software Engineer, Camera Systems

Meta; Sunnyvale (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Camera Software Engineer to own architecture, development, and productization of end-to-end camera pipelines across devices. You will tackle on-device perception, image quality, ISP pipelines, and sensor calibration, collaborating with hardware, algorithms, and product teams to deliver high-quality camera experiences at scale.

The role requires deep C/C++ expertise, 7+ years in industry or PhD with 4+ years, and hands-on work with AR/VR/mobile camera systems, ISP optimization,

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 7+ years software development experience; or PhD with 4+ years.
• 3+ years camera software engineering experience.
• Experience in C/C++ development and debugging.
• Experience leading large or complex projects.
• Experience building camera systems for AR/VR/mobile platforms.
• Experience optimizing ISP and ML algorithms for camera products.
• Experience with end-to-end camera ISP pipelines.
• Experience with sensor calibration models and camera characterization.
• Experience with Qualcomm hardware and CamX; real-time embedded software.
• Ability to integrate AI tools to optimize workflows.
• Adherence to responsible AI practices.
• Continual AI skill development and staying current.

Responsibilities

• Own architecture and end-to-end camera pipelines across devices.
• Collaborate with hardware, algorithms, and product teams to ship camera experiences at scale.
• Lead complex, ambiguous problems spanning perception, image quality, ISP pipelines, and sensor calibration.
• Deliver high-quality camera experiences at scale across AR/VR/mobile devices.
• Define goals and milestones for large camera projects and lead teams to meet them.

Skills

C/C++ development

Camera software engineering

Project leadership

AI tool integration

Embedded real-time software

Image processing

Sensor calibration

Ethical AI

AI/ML foundations

Education

Bachelor's in CS/CE or equivalent

PhD with 4+ years experience

Tools

CamX

SoC platform

Real-time embedded software

Job description

At Meta, we're building cutting-edge camera systems and algorithms that enable high-quality media capture and AI features. We're a team of engineers developing and shipping innovative hardware, software, and content that push the boundaries of what's possible in AR, VR, and MR products. As a Camera Software Engineer, you'll drive the architecture, development, and productization of end-to-end camera pipelines across our devices. You'll own complex, ambiguous technical problems spanning on-device perception, image quality, ISP pipelines, and sensor calibration, while partnering across hardware, algorithms, and product teams to ship high-quality camera experiences at scale.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years software development experience in industry settings or PhD with 4+ years of experience
• 3+ years relevant camera software engineering experience in industry settings
• Experience developing and debugging in C/C++
• Experience leading large or complex projects, defined goals and delivered milestones by leading teams
• Experience building camera systems for AR/VR, wearable, or mobile platforms
• Experience developing and optimizing ISP and machine learning algorithms for camera products
• Experience with end-to-end camera ISP pipelines and image processing algorithms
• Experience with sensor calibration models and camera characterization
• Experience with Qualcomm hardware and CamX, SoC platform architecture, and real-time embedded software
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies