Machine Vision Engineer

Computer Vision / Machine Learning Engineer

Rochester, NY, USA

Job Type: Full Time On-site

Photonect 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.

• Design 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
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• 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.

This role does not have fixed requirements; candidates with relevant experience are encouraged to apply.

Required

• MS or PhD in Computer Vision, Robotics, Computer Science, Electrical Engineering, or related field
• Strong programming skills in Python and/or C++
• Experience with computer vision libraries such as:
• OpenCV
• PyTorch or Tensor Flow
• Scikit-image
• Experience working with industrial cameras and 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

$80,000-$150,000 per annum.

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