Meta AR/VR Job | Camera Validation and Characterization Engineer
Job（岗位）: Camera Validation and Characterization Engineer
Type（岗位类型）: Hardware
Citys（岗位城市）: Sunnyvale, CA
Date（发布日期）: 2024-3-4
Summary（岗位介绍）
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.
Qualifications（岗位要求）
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.
Description（岗位职责）
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
Additional Requirements（额外要求）
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
