Engineering Technician, Intermediate|6087

Job Title: Engineering Technician II - Camera Imaging LabLocation: San Diego, CA (Onsite)Duration: 6+ MonthsJob Overview:Client is seeking an Engineering Technician II to support the Camera Image Quality (IQ) engineering team in San Diego. This role will focus on capturing photo and video data, analyzing image quality, and maintaining imaging databases used for camera development and evaluation.The ideal candidate will assist engineers in camera testing, data analysis, and lab operations, while utilizing tools such as Python, Android Debug Bridge (ADB), and image/video analysis software.Key Responsibilities:Photo & Video Capture and Imaging Data ManagementCapture high-quality photos and videos using camera devices (primarily smartphone cameras) in both lab environments and real-world scenarios.Execute image and video analysis tools to evaluate camera performance and generate quantitative and qualitative results.Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including: Texture and Noise, Color Accuracy, HDR, Exposure, Zoom, Bokeh, Video Quality, Image, StabilizationConfigure and operate Android devices using Android Debug Bridge (ADB) for camera testing and data capture.Organize captured data through structured folder systems and naming conventions to support multi-device testing workflows.Camera Lab MaintenanceMaintain and operate Camera Image Quality evaluation labs located at San Diego campus.Ensure the lab environment is properly configured for camera testing and data collection.Support camera engineering teams by maintaining testing equipment, scenes, and workflows.Image Quality Evaluation Support (Optional)Develop and enhance Python-based tools for image quality analysis and evaluation.Assist in developing evaluation protocols for camera IQ metrics, including texture, color, HDR, exposure, zoom, and video stabilization.Support development of test scenarios for both lab setups and real-world capture conditions.Work with tools such as FFmpeg for video analysis and processing.Assist in building and organizing image/video datasets for machine learning training, including data annotation and labeling.Required Qualifications:Bachelor's degree in Engineering (Electrical Engineering, Computer Engineering, Computer Science, or related field).Strong interest in camera imaging, photography, or image quality evaluation.Basic knowledge of Python programming.Ability to manage large datasets and organize technical data efficiently.Preferred Qualifications:Experience with image or video processing tools.Familiarity with Android Debug Bridge (ADB).Knowledge of MATLAB, Python scripting, or FFmpeg.Exposure to computer vision, image quality analysis, or camera testing.Understanding of image datasets used in machine learning workflows.