Product Engineer - Image Processing & Hardware Integration

Photonect Interconnect Solutions; City of Rochester (NY); On-site; USD 80,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with company match

Paid time off and holidays

Competitive salary, equity options, and professional development support

Job summary

Photonect Interconnect Solutions in Rochester, NY, is seeking a Computer Vision / Machine Learning Engineer to develop and integrate vision-based intelligence into laser processing systems. The role involves designing computer vision algorithms and optimizing pipelines for real-time manufacturing.

The ideal candidate has a MS or PhD in a relevant field, strong programming skills, and experience with computer vision libraries. Benefits include health insurance, a 401(k) plan, and competitive salary.

Qualifications

• 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.

Responsibilities

• Design and implement computer vision algorithms for precision alignment and inspection.
• Develop image processing pipelines for feature detection and alignment verification.
• Build ML models for automated quality control and anomaly detection.

Skills

Python programming

C++ programming

Problem-solving

Analytical skills

Teamwork

Education

MS or PhD in Computer Vision, Robotics, Computer Science, Electrical Engineering

Tools

OpenCV

PyTorch

TensorFlow

Scikit-image

Job description

Computer Vision / Machine Learning Engineer

Rochester, NY, USA

Full Time
On-site

Overview

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.

Role Description

• 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.
• 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

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

Qualifications

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 TensorFlow
• 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

Salary Range

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

Benefits

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