Vision Systems Engineer — Drive Imaging & Automation

Zachary Piper Solutions; 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

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

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