Product Engineer - Image Processing & Hardware Integration

Photonectcorp; 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

Professional development support

Job summary

A leading technology company seeks a Computer Vision / Machine Learning Engineer in Rochester, NY, to develop innovative vision-based intelligence for laser processing systems. The candidate will design algorithms, build ML models, and integrate these solutions into hardware platforms. An advanced degree in related fields is required, along with strong programming skills and experience with vision libraries. The role offers a competitive salary ranging from $80,000 to $150,000 annually, along with numerous benefits including health insurance and a 401(k) plan.

Qualifications

• MS or PhD in a relevant field is required.
• Strong programming skills in Python and/or C++ are mandatory.
• Experience with computer vision libraries such as OpenCV, PyTorch, or TensorFlow is critical.

Responsibilities

• Design and implement computer vision algorithms for precision alignment.
• Build machine learning models for automated quality control.
• Integrate vision systems with existing hardware platforms.

Skills

Programming in Python

Programming in C++

OpenCV

PyTorch

TensorFlow

Scikit-image

Image processing pipelines

Machine vision

Robotics

Education

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

Tools

Industrial cameras

Job description

Computer Vision / Machine Learning Engineer

Job Type

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.

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.

Health insurance

401(k) plan with company match

Paid time off and holidays

Competitive salary, equity options, and professional development support.

* Are you legally authorized to work in the United States?

* Do you now or in the future require visa sponsorship to work in the U.S.?

* Are you a U.S. citizen, lawful permanent resident, or otherwise eligible under ITAR/EAR regulations?