Machine Vision Engineer - 174364

Piper Companies; Raleigh (NC); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K

Job summary

Piper Companies seeks a Machine Vision Engineer to join an innovative organization in the agricultural technology and automation field. This is an onsite permanent position based in Raleigh, NC, bridging research initiatives and commercial operations for a global customer base.

The engineer will support and enhance imaging and automation platforms, collaborating with engineering, R&D, and field service teams to resolve issues, improve ML models, and analyze data to drive product innovation in

Qualifications

• Bachelor's degree or higher in a technical field.
• Experience implementing computer vision, ML, or image processing in production.
• Understanding of automated equipment, robotics or industrial systems.

Responsibilities

• Support and optimize computer vision applications on automated production equipment.
• Collaborate with engineering, R&D, and field service teams to resolve vision system issues.
• Improve models and software to increase accuracy, efficiency and scalability.
• Analyze operational data to recommend enhancements for product innovation.
• Assist with customer deployments and validation of new vision capabilities in production.

Skills

Computer vision

Machine learning

Image processing

Troubleshooting

Cross-functional communication

Analytical thinking

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

Python

C++

OpenCV

Job description

Piper Companies is seeking a Machine Vision Engineer to join an innovative organization within the agricultural technology and automation industry for an onsite permanent position based out of Raleigh, NC. The Machine Vision Engineer will support and enhance advanced imaging and automation platforms used in high-volume production environments, helping bridge the gap between research initiatives and commercial operations across a global customer base.

Responsibilities of the Machine Vision Engineer include:

• Support, troubleshoot, and optimize computer vision applications deployed on automated production equipment.
• Collaborate with engineering, R&D, and field service teams to identify and resolve vision system performance issues.
• Improve machine learning models and software functionality to increase system accuracy, efficiency, and scalability.
• Analyze operational data and system outputs to recommend enhancements and support product innovation efforts.
• Assist with customer deployments, technical support activities, and validation of new vision-based capabilities in production settings.

Qualifications for the Machine Vision Engineer include:

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline.
• Experience implementing computer vision, machine learning, or image processing solutions in real-world production environments.
• Understanding of automated equipment, industrial systems, robotics, or manufacturing technologies.
• Experience supporting vision inspection systems within industries such as pharmaceutical manufacturing, OEM equipment, industrial automation, or related environments.
• Strong troubleshooting, analytical, and cross-functional communication skills with the ability to support both commercial and technical stakeholders.

Compensation for the Machine Vision Engineer:

Salary Range: $90,000-$140,000/year (USD)

Comprehensive Benefits: Medical, Dental, Vision, sick leave if required by law, and 401K

This job opens for applications on 9/1/26. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords: machine vision, computer vision, image processing, machine learning, artificial intelligence, industrial automation, robotics, manufacturing, production systems, automated equipment, software engineering, data analytics, predictive modeling, troubleshooting, quality inspection, industrial controls, algorithm development, embedded systems, AI models, deep learning, computer engineering, camera systems, vision inspection, process optimization, field support, product development, R&D, commercial operations, automation engineering, Python, C++, software deployment, technical support, engineering collaboration, industrial technology, agricultural technology, performance optimization, industrial software, sensor systems, manufacturing technology, operational analytics.