Engineering Technician, Intermediate|6087

Engineering Technician Duration : 6 months with extensions Location : San Diego , CA - 100% onsite Education 4-year College Degree in engineering Years of Experience: No expected experience after 4-year college degree.Others Python software coding skill is preferred. Photo and Video Capture & Imaging Database Management· Capture high-quality photo and video content using camera devices (e.g., smartphone cameras), covering both camera lab test scenes and real world usage scenarios.· Run image and video analysis tools on captured content to generate quantitative and qualitative analysis data; tools are primarily implemented in Python.· Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including texture/noise, color, HDR, exposure, zoom, bokeh, video quality, and stabilization.· Configure and manage Android devices for content capture using Android Debug Bridge (ADB).· (Optional) Develop and enhance database management tools using MATLAB and/or Python, including filename conventions and folder structures to support multi device workflows.Camera lab Maintenance·Maintain and operate camera Image Quality (IQ) evaluation labs on the San Diego campus. Support the camera engineering team by ensuring lab readiness and efficient data collection workflows.[optional] IQ Evaluation Protocol Development Support· Develop the tools (coding in Python) for the extensive IQ analysis and support the IQ analysis activities for IQ evaluation protocol development on various camera IQ areas including texture/noise, color, HDR, exposure, zoom, bokeh, segmentation, video, stabilization· With good understanding on the Camera IQ characteristics, participate the activities to define and develop the photo/video evaluation scenarios for various Camera IQ areas, including lab test setup and real-life test scenes· The activities for IQ Evaluation Protocol Development Support also include handling the Image/video tools such as ffmpeg and building up the database with training data set (image/video and their annotation) for ML networks APOLIS2024