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Engineering Technician, Intermediate

Job in San Diego, San Diego County, California, 92189, USA
Listing for: ThunderSoft
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below

Overview

Job Title: Engineering Technician, Intermediate

Organization Unit: Camera

Time Frame: 6 months (extension subject to performance and business needs), 100% Onsite in San Diego, CA (zip code: 92121)

Others: Python software coding skill is preferred.

Responsibilities
  • 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.
  • 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
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