Module Test Instrumentation & Automation Engineer

What you'll do

• Develop image and data processing algorithms using MATLAB or Python for camera calibration and mass production testing.
• Design and implement end-to-end automated test equipment (ATE) for camera and depth modules at a global scale.
• Perform hardware failure analysis using lab instruments like oscilloscopes and spectrum analyzers to resolve complex technical issues.
• Develop software to calibrate imaging systems and establish metrics to quantify performance in manufacturing environments.
• Review circuit schematics, PCB layouts, and mechanical designs of test fixtures to ensure they meet engineering requirements.
• Define and document functional requirements, test specifications, and calibration flows for imaging systems.
• Analyze large volumes of production data to identify trends and provide evidence for engineering decisions.
• Manage external vendors and internal teams to integrate multi-functional test heads into ATE systems.

What we're looking for

• Master's degree or foreign equivalent in Electrical Engineering, Imaging optics, Camera testing, Image processing, or a related field.
• Experience developing image/data processing algorithms and automation software using MATLAB or Python for camera and depth module calibration.
• Experience designing and analyzing protection circuits and electrical/optical metrology systems to meet functional safety requirements.
• Experience implementing end-to-end automated test equipment (ATE) for camera and depth modules at a global factory scale.
• Experience performing hardware failure analysis using lab instruments like oscilloscopes, SMUs, DMMs, power meters, and spectrum analyzers.
• Ability to review circuit schematic capture, PCB layouts, and mechanical designs of test fixtures against engineering requirements.
• Ability to define and document functional requirements, test specifications, calibration flows, and software pipeline documentation.
• Experience analyzing large-volume production data to identify performance trends and support engineering decisions.