Vision Systems Engineer - 173676

Piper Companies; Raleigh (NC); On-site; USD 115,000 - 140,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Paid time off

Company-sponsored benefits

Job summary

Piper Companies seeks a Vision Systems Engineer in Raleigh, NC for a permanent onsite role. You will drive machine vision improvements, analyze system performance, and develop software solutions for imaging and inspection platforms in fast-paced production environments.

The position emphasizes Python development, OpenCV usage, and hands-on camera/ optics knowledge to support innovation initiatives and system deployments across cross-functional teams.

Qualifications

• 5+ years of experience with machine vision systems or industrial imaging technologies.
• Strong Python programming skills and the ability to independently develop and modify software solutions.
• Experience with OpenCV or similar image processing frameworks.
• Hands-on knowledge of machine vision cameras, lens configuration, image acquisition, and hardware troubleshooting.
• Excellent communication skills with the ability to collaborate across multiple teams and translate data into actionable business insights.

Responsibilities

• Assess and optimize existing vision systems, identifying opportunities to improve accuracy, efficiency, and overall system performance.
• Design, develop, and maintain Python-based applications that interact with imaging hardware and support automated inspection processes.
• Gather, organize, and evaluate operational data to uncover trends and deliver recommendations for future enhancements.
• Troubleshoot machine vision hardware, cameras, optics, and network connectivity issues in production and field environments.
• Partner with engineering, operations, and technical teams to support innovation initiatives, system deployments, and continuous improvement efforts.

Skills

Python programming

Machine vision systems

OpenCV

Data analysis

Cross-team collaboration

Tools

OpenCV

Camera configuration

Job description

Piper Companies is seeking a Vision Systems Engineer to join a cutting-edge automation and manufacturing technology organization for a permanent onsite position in Raleigh, NC. The Vision Systems Engineer will play a key role in advancing machine vision technology by analyzing system performance, developing software solutions, and driving improvements to imaging and inspection platforms used in fast-paced production environments.

Responsibilities of the Vision Systems Engineer include:

• Assess and optimize existing vision systems, identifying opportunities to improve accuracy, efficiency, and overall system performance.
• Design, develop, and maintain Python-based applications that interact with imaging hardware and support automated inspection processes.
• Gather, organize, and evaluate operational data to uncover trends and deliver recommendations for future enhancements.
• Troubleshoot machine vision hardware, cameras, optics, and network connectivity issues in both production and field environments.
• Partner with engineering, operations, and technical teams to support innovation initiatives, system deployments, and continuous improvement efforts.

Qualifications for the Vision Systems Engineer include:

• 5+ years of experience working with machine vision systems, computer vision applications, or industrial imaging technologies.
• Strong Python programming skills with the ability to independently develop and modify software solutions.
• Experience utilizing OpenCV or similar image processing and computer vision frameworks.
• Hands‑on knowledge of machine vision cameras, lens configuration, image acquisition, and hardware troubleshooting.
• Excellent communication skills with the ability to collaborate across multiple teams and translate data into actionable business insights.

Compensation for the Vision Systems Engineer:

• Salary Range: $115,000 - $140,000
• Comprehensive Benefits: Medical, Dental, Vision, 401(k), paid time off, and additional company-sponsored benefits.

This job opens for applications on 9/3/26. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords: vision systems, machine vision, computer vision, Python, OpenCV, imaging systems, camera integration, image processing, automation, industrial automation, hardware troubleshooting, optics, data analysis, analytics, software development, process improvement, inspection technology, machine vision cameras, Ethernet networking, production systems, manufacturing technology, algorithm development, systems engineering, hardware integration, research and development, innovation, operational excellence, technical support, cross-functional collaboration, field support.

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