Vision Systems Engineer - 173676

Zachary Piper Solutions

Raleigh (NC)

On-site

USD 115,000 - 140,000

Full time

12 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k)
Paid time off

Job summary

Zachary Piper Solutions is seeking a Vision Systems Engineer for a permanent onsite role in Raleigh, NC. The engineer will advance machine vision by analyzing performance, developing software, and driving improvements to imaging and inspection platforms in fast-paced production environments.

Responsibilities include designing and maintaining Python applications, optimizing vision systems, and collaborating across engineering, operations, and technical teams to support innovative deployments and

Qualifications

  • 5+ years of experience with machine vision systems or industrial imaging technologies.
  • Strong Python programming skills to develop and modify software solutions.
  • Experience with OpenCV or similar image processing frameworks.

Responsibilities

  • Assess and optimize existing vision systems to improve accuracy and efficiency.
  • Design, develop, and maintain Python-based applications interfacing with imaging hardware.
  • Analyze operational data to identify trends and recommend future enhancements.
  • Troubleshoot machine vision cameras, optics, and network connectivity in production and field environments.
  • Collaborate with engineering and operations teams to support deployments and continuous improvements.

Skills

Python
OpenCV
Machine Vision
Image Processing
Data Analysis
Team Collaboration

Tools

Imaging Hardware
Cameras & Lenses
Ethernet Networking

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 9/25/26. 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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