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Software Engineer, Camera Systems

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Meta
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

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
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