Machine Vision Engineer

Role Overview

We are seeking skilled Machine Vision Engineers to design, develop, and integrate advanced optical and vision systems for high-precision manufacturing and inspection equipment. You will be responsible for sub-micron alignment, defect detection, and automated optical inspection (AOI) to ensure our equipment meets stringent quality and performance standards.

Key Responsibilities

• Vision System Design: Architect hardware and software solutions for machine vision, including camera selection, lens optics, lighting techniques (coaxial, ring, structured light), and sensor integration.
• Algorithm Development: Develop and optimize algorithms for pattern matching, edge detection, sub-pixel measurement, 3D surface profiling, and defect classification.
• Precision Alignment & Calibration: Implement high-precision hand-eye calibration, camera-to-stage calibration, and real-time closed-loop feedback for motion control systems.
• Performance Optimization: Troubleshoot and enhance vision processing speed, accuracy, and robustness under varying lighting and environmental factory conditions.
• Cross-Functional Integration: Collaborate with mechanical, electrical, and software teams to seamlessly integrate vision subsystems into the overall equipment architecture.

Qualifications & Requirements

• Education: Master’s or Ph.D. in Computer Science, Electrical Engineering, Optics, Robotics, or a related field.
• Experience: 3+ years of hands-on experience in machine vision development for automated high-precision equipment (e.g., semiconductor, electronics, or medical device manufacturing).
• Technical Skills:
• Proficiency in C++ and/or Python.
• Deep familiarity with vision libraries such as OpenCV , Halcon , Cognex VisionPro , etc.
• Experience with 2D/3D sensors, laser displacement sensors, and hyperspectral imaging.
• Understanding of optics, focal lengths, depth of field, and modulation transfer function (MTF).