Product Engineer - Image Processing & Hardware Integration

Role Description

- Design and implement computer vision algorithms for precision alignment, inspection, and monitoring of fiber-to-chip attachment processes. - Integrate vision systems with existing hardware platforms, motion stages, and control software. - Develop software interfaces between cameras, sensors, and machine control systems. - Optimize vision pipelines for real-time performance in manufacturing environments. - Work closely with optical, mechanical, and electrical engineers to integrate vision solutions into product platforms. - Train and evaluate machine learning models for process monitoring and predictive analysis. - Improve system robustness under varying illumination, vibration, and environmental conditions.

Requirements

Required: - MS or PhD in Mechatronics, Computer Vision, Robotics, Electrical Engineering, or related field - Strong programming skills in Python and/or C++ - Experience working with industrial cameras and real time imaging systems - Experience building real-time image processing pipelines - Strong problem-solving and analytical skills - Excellent communication and teamwork abilities - Eagerness to learn and adapt to new technologies and challenges Preferred: - 3+ years of experience in computer vision or machine vision applications - Experience with machine vision in robotics, manufacturing, or semiconductor equipment - Familiarity with optics or photonics systems - Experience with motion control systems, robotics, or hardware integration - Knowledge of deep learning approaches for object detection, segmentation, and anomaly detection - Experience with GPU acceleration or edge AI systems

Benefits

- Health insurance - 401(k) plan with company match - Paid time off and holidays - Competitive salary, equity options, and professional development support.