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Camera Validation Engineer
Company | Meta |
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Location | Sunnyvale, CA, USA |
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Salary | $111000 – $164000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Junior, Mid Level |
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Requirements
- Bachelor’s Degree in Imaging Science, Mechanical, Electrical, Optical, Image Processing or related fields or equivalent relevant experience
- 2+ years of experience in image/video quality test, metrics, algorithms or evaluation methods for benchmarking or camera characterization (sensor, lens, module, device)
- Experience evaluating camera optical/sensing, image processing techniques, ISP (Image Signal Processor) blocks or mainstream computational photography algorithms for mobile camera product
- Experience implementing or creating and debugging image quality test infrastructure (hardware, charts, software, automation, opto-mechanical components, motion control stages and precision alignment components, optical filters, or lenses) and evaluation platforms (DXO, Imatest, IQ Analyzer, etc)
- Experience with camera module fabrication, understanding how module component performance and assembly process impact the camera performance
- Experience in Matlab or Python for operating lab systems, algorithm implementation, lab automation, data collection, or data analysis
Responsibilities
- Develop, validate, characterize, and perform objective and subjective IQ analysis for imaging systems
- Work with internal teams for test readiness, troubleshoot and debug image, work with external vendors in bringing up testers, reviewing tester DFM, running GRRs
- Design end-to-end validation solutions, including HW setup design, metric proposal, validation plan, implementation of test automation, draw valid conclusions
- Manage image quality labs contributing to camera architecture, bring up, tuning, and qualification
- Research, design, and develop tools for test creation and data analysis in JMP, 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
Preferred Qualifications
- Masters Degree in Imaging Science, Color Science, Mechanical, Electrical, Optical, or related fields or equivalent relevant experience
- 5+ years of experience in image/video quality test, metrics, and evaluation methods for benchmarking or camera validation/characterization (sensor, lens, module, device)
- Proven experience in Matlab or Python for operating lab systems, algorithm implementation, lab automation, image data collection, and JMP for analysis
- Familiarity with ADB for data analysis
- Contributions to ICPQ, IEEE or other IQ standards organizations, familiarity with industry image quality test protocols and standards in the market
- Background in lab test and analysis for industry standard metrics
- Familiarity with sensor and optics and their evaluation methodologies
- 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
- 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, and familiarity with image quality artifacts