Vision Systems Engineer

This role is responsible for technical leadership across vision system projects, from concept through to production deployment and support.

Vision System Design & Developmen

• tContribute to the design of machine vision system architectures to meet defined requirements, including assisting with hardware selection (cameras, lighting, lenses) and software tools
• .Develop and configure vision applications using established platforms under guidance, ensuring alignment with defined functional requirements
• .Apply structured problem‑solving techniques to support equipment technology development and continuous improvement initiatives

.Equipment Commissioning & Suppor

• tCommission, test, troubleshoot, and support new and existing manufacturing equipment with integrated vision systems
• .Provide day‑to‑day technical support for vision hardware and software on production machines
• .Assist with fault investigation and root cause analysis of vision‑related production issues

.Software & Algorithm Developmen

• tDevelop and modify vision applications using Cognex (In‑Sight, VisionPro) and/or Keyence XG/XGX platforms (or equivalent systems)
• .Support software development activities that may include C#, VB, C/C++ and communication with PLC- or PC‑based control systems
• .Implement basic algorithms for image processing tasks such as measurement, feature detection, OCR, pass/fail logic, and data acquisition

.Data Handling & Performanc

• eSupport the storage, organisation, and retrieval of image and video data used for system development, testing, and troubleshooting

. Required Qualificatio

• nsLevel 8 NFQ qualification or equivalent in Electronic Engineering or a related technical disciplin
• e.Candidates are required to have 3+ years’ experience in machine vision, automation, or equipment engineering roles (graduate‑level experience will be considered
• ).Experience or practical exposure to machine vision systems, ideally using Keyence XG/XGX or Cognex (In‑Sight, Designer, VisionPro) platform
• s.Foundational understanding of mathematical and image processing concept
• s.Ability to work effectively both independently and as part of an engineering tea
• m.Good written and verbal communication skills with a practical, solution‑focused mindse

t.Preferred Qualificatio

• nsExperience working in a regulated manufacturing environment (e.g. medical devices, pharmaceuticals
• ).Exposure to equipment validation, commissioning, or structured problem‑solving methodologie
• s.Familiarity with industrial automation, robotics, or PLC‑based system

s.