Computer Vision / Machine Learning Engineer

OverviewPhotonect is revolutionizing photonic interconnects through our proprietary adhesion-free, laser-based fiber-to-chip attachment technology.We are seeking a Computer Vision / Machine Learning Engineer to develop and integrate vision-based intelligence into our laser processing and fiber-alignment systems.This role will focus on building computer vision pipelines that enable precision alignment, automated inspection, process monitoring, and adaptive control within our photonic packaging equipment.The ideal candidate enjoys working at the intersection of machine vision, robotics, optics, and hardware systems.Role DescriptionDesign and implement computer vision algorithms for precision alignment, inspection, and monitoring of fiber-to-chip attachment processes.Develop image processing pipelines for feature detection, edge detection, alignment verification, and defect detection.Build ML models for automated quality control and anomaly detection.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.QualificationsRequiredMS or PhD in Computer Vision, Robotics, Computer Science, Electrical Engineering, or related fieldStrong programming skills in Python and/or C++Experience with computer vision libraries such as:OpenCVPyTorch or TensorFlowScikit-imageExperience working with industrial cameras and imaging systemsExperience building real-time image processing pipelinesStrong problem-solving and analytical skillsExcellent communication and teamwork abilitiesEagerness to learn and adapt to new technologies and challengesPreferred3+ years of experience in computer vision or machine vision applicationsExperience with machine vision in robotics, manufacturing, or semiconductor equipmentFamiliarity with optics or photonics systemsExperience with motion control systems, robotics, or hardware integrationKnowledge of deep learning approaches for object detection, segmentation, and anomaly detectionExperience with GPU acceleration or edge AI systemsSalary Range$80,000-$150,000 per annum. BenefitsHealth insurance401(k) plan with company matchPaid time off and holidaysCompetitive salary, equity options, and professional development support.To apply visit: Computer Vision / Machine Learning Engineer | Photonect