Equipment Machine Vision Systems Engineer I

Contract role

Galway

Job Purpose

Develop internal capabilities to support the assessment, design, installation, and maintenance of automated inspection solutions using Machine Vision and Image Processing technologies. The role involves contributing to research initiatives and assisting in the development of innovative production solutions under guidance from senior engineers.

Build collaborative relationships through strong teamwork across the organization while supporting existing manufacturing equipment to investigate and resolve machine vision–related issues.

This role has a hands‑on focus in equipment development, including exposure to automation and controls, electro‑mechanical systems, industrial and collaborative robots, and computer hardware and software support.

Key Responsibilities

Vision System Design & Development

Contribute 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 & Support

Commission, 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 Development

Develop 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 & Performance

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

Assist with performance optimisation activities to ensure vision systems meet defined speed and reliability requirements.

Participate in testing, validation, and benchmarking activities to verify vision system accuracy and robustness.

Collaboration, Compliance & Development

Work as part of a cross‑functional team with manufacturing, quality, automation, and engineering partners to resolve technical issues.

Follow defined divisional and corporate procedures, including change control, validation, and safety requirements for vision‑related updates.

Maintain documentation related to vision system configurations, testing, and changes.

Seek to develop technical capability by staying informed of advancements in machine vision technologies and best practices.

Apply agreed machine vision standards and practices to support equipment effectiveness and maintainability.

Required Qualifications

Level 8 NFQ qualification or equivalent in Electronic Engineering or a related technical discipline.

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) platforms.

Foundational understanding of mathematical and image processing concepts.

Ability to work effectively both independently and as part of an engineering team.

Good written and verbal communication skills with a practical, solution‑focused mindset.

Preferred Qualifications

Experience working in a regulated manufacturing environment (e.g. medical devices, pharmaceuticals).

Exposure to equipment validation, commissioning, or structured problem‑solving methodologies.

Familiarity with industrial automation, robotics, or PLC‑based systems.

Working Conditions

The role is primarily site‑based in a manufacturing and/or laboratory environment.

Occasional travel to other company sites may be required.

Standard working hours are Monday to Friday; occasional out‑of‑hours or weekend support may be required to support production activities.