Camera Validation and Characterization Engineer

Meta Reality Lab (RL) brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Meta's mission of connecting the world. The RL Technology Engineering for Devices (TED) Team has the responsibility for taking breakthroughs in core technologies and delivering them to market at scale. The Camera and Depth Team is tasked with defining and developing Reality Labs' cameras and depth modules across all product lines. The team is seeking a seasoned experienced Camera Validation Engineer to validate the performance of our state-of-the-art cameras for VR, AR and Smart Glasses. The successful applicant will have a dedication to advance the imaging user experience in consumer products.
Camera Validation and Characterization Engineer Responsibilities

• Develop, validate, characterize, and perform objective and subjective IQ analysis for imaging systems
• Work with external vendors and internal teams to design, procure for, and manage image quality labs contributing to camera architecture, bringup, tuning, and qualification
• Research, design, and develop tools for test creation and data analysis in ADB, Matlab, or Python
• Triage and debug image quality related problems during development cycles
• Manage and report image quality deliverables to cross-functional team to guide product development

Minimum Qualifications

• Bachelors Degree in Photography, Imaging Science, Color Science, Mechanical, Electrical, Optical, or related fields or equivalent relevant experience
• 2+ years experience in image/video quality test, metrics, and evaluation methods for benchmarking or camera characterization (sensor, lens, module, device)
• Experience with evaluation of camera optical/sensing, image processing techniques, ISP blocks or mainstream computational photography algorithms for mobile camera product
• Experience in implementing or creating and debugging image quality test infrastructure (hardware, charts, software, automation, opto-mechanical components, motion control stages & precision alignment components, optical filters (bandpass, IR cut-off), lenses) and evaluation platforms (DXO, Imatest, IQ Analyzer, etc.)
• Experience in Matlab or Python for operating lab systems, lab automation, data collection, and analysis.

Preferred Qualifications

• PhD or Masters Degree in Photography, Imaging Science, Color Science, Mechanical, Electrical, Optical, or related fields or equivalent relevant experience
• 7+ years experience in image/video quality test, metrics, and evaluation methods for benchmarking or Camera Validation/characterization (sensor, lens, module, device)
• Expert in Matlab or Python for operating lab systems, lab automation, data collection, and analysis
• Familiarity with ADB for data analysis
• Contributions to ICPQ, IEEE or other IQ standards organizations
• Strong background in lab test and analysis for industry standard metrics
• Familiarity with industry image quality test protocols and standards in the market
• Familiarity with sensor and optics and their evaluation methodologies
• General understanding of overall systems interactions in the image pipeline
• Experience in one or more of the following areas: optical system design, sensor technology, imaging algorithms, camera ISP and computation photography features, imaging lab design and setup, software QA process
• Deep care of final user experience regards to photography and videography features
• Experience leading teams and shipping consumer electronics at scale
• Hands-on experience working in an optical lab environment, creating, maintaining and operating sensitive measurement setups for quality data acquisition
• Hands-on experience prototyping with macro-scale imaging test targets, interfacing fixtures for sensor devices, off-the-shelf optomechanical components (e.g. Thorlabs, Edmund, Newport)
• Hands-on experience debugging image quality issues, finding root causes. Familiarity with image quality artifacts

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