Vision Automation Engineer

Lyten Ett AB; Skellefteå kommun; On-site; SEK 550,000 - 750,000; Full time

Job summary

Lyten Ett AB is seeking an experienced Automation Engineer to enhance the productivity of its cell manufacturing operations. This role is crucial for developing, optimizing, and maintaining machine vision and optical inspection systems to ensure efficient operations.

Ideal candidates should have a Bachelor's degree in a relevant field, at least three years of experience in industrial automation, and proficiency in programming languages such as Python and C++. The position requires a strong technical background alongside effective communication skills.

Qualifications

• Minimum of 3 years of relevant work experience in Industrial Automation.
• Experience in designing and deploying machine vision systems.
• Strong knowledge of mechanical, electrical, and pneumatic systems.

Responsibilities

• Lead vision system integration during equipment commissioning.
• Develop and maintain machine vision programming standards.
• Participate in R&D for piloting new technologies.

Skills

Industrial Automation

Image processing algorithms

Machine vision systems

Python

C++

Optical components

Education

Bachelor’s Degree in Electronics, Mechatronics, Electrical, Automation, Robotics, or Software Engineering

Tools

Cognex

Halcon

OpenCV

Job description

Job Scope

High level purpose of function. Automation Engineer in a cell manufacturing company plays a key role in developing, optimizing, reverse-engineering, and maintaining machine vision and optical inspection systems to ensure safe, reliable, and efficient operations. Responsibilities include programming, troubleshooting, and improving cameras, lighting configurations, and image processing algorithms, supporting legacy production line re-commissioning and new vision system installations, ensuring accurate data transfer, system connectivity, and smooth communication with PLCs, SCADA, and MES platforms to enable inline defect traceability, dimensional inspection, and digital integration.

Key Responsibilities

• Participate in HAZOP sessions and ensure compliance with process safety, operational safety, and environmental standards relating to equipment control and programming.
• Responsible for the FATs of the equipment.
• Lead vision system integration and optical calibration during equipment commissioning and line re‑starts.
• Develop and reverse‑engineer the vision inspection systems to be implemented in the production and logistics equipment in the factory, along with relevant specifications and documentation.
• Author and review engineering design documentation (specifications, functional design, logic diagrams, test cases, test records).
• Train and mentor new engineers, and educate other support functions on machine vision, optics, and quality inspection gates.
• Code review and test of suppliers' vision software and algorithmic work within the projects to validate specified defect detection thresholds (Gauge R&R) and to ensure the quality and reliability of the data transferred from the equipment to upper‑level systems.
• Participate in R&D activities for piloting of new technologies and their suitability to production environments.
• Define and improve the factory blueprint, general specifications and ways of working in collaboration with the extended automation and digitalization teams.
• Contribute to technical improvements, development and optimization of software processes internally in the automation team.
• Work on the production floor for a minimum of approximately 25% of working hours; up to 100% may be required during line re‑commissioning.
• Develop and maintain machine vision and image processing programming standards.
• Guide and mentor colleagues to industrial best practices, focusing on growth and development.
• Complete supplementary tasks as seen fit by management to effectively utilize time and resources for the benefit of the business.

Requirements / Qualifications

• Bachelor’s Degree in Electronics, Mechatronics, Electrical, Automation, Robotics, Software Engineering or similar.
• Minimum of 3 years of relevant work experience within Industrial Automation in process‑driven or discrete manufacturing industries such as: Battery Cell, Automotive, Chemical, Paper, Semiconductors, Pharma, Food, Warehouses, etc.
• Experience working with industrial camera systems, optical components, and lighting techniques, including selection, configuration, and calibration of camera hardware for manufacturing inspection and process control applications.
• Experience in the design, configuration, and deployment of machine vision systems, including cameras, lighting, and vision software platforms such as Cognex, Halcon, or equivalent, with integration of vision outputs into PLC, SCADA, and MES environments via OPC connectivity.
• Experience developing and optimizing image‑processing pipelines and vision algorithms for defect detection, pattern recognition, and dimensional verification, with familiarity with industrial communication protocols for vision system integration.
• Experience writing technical documentation including inspection requirement specifications, algorithm validation reports, vision system configuration records, functional design, UML, test cases, and test records.
• Experience with image‑processing software and programming tools relevant to industrial vision applications, such as Python, C++, OpenCV, or equivalent vision libraries, with ability to develop, test, and optimize vision algorithms for real‑time manufacturing environments.
• Experience with continuous improvement and root‑cause analysis.
• Strong knowledge of mechanical, electrical, hydraulic, and pneumatic systems.
• Knowledge of cybersecurity best practices for manufacturing systems.
• Troubleshooting skills with diagnostic equipment.
• Excellent English skills, both written and oral.
• Basic Swedish and other language skills are a plus.
• Good communication skills and ability to work in close collaboration with colleagues from many different teams.
• Ability to work within varying environments including clean‑rooms and dry‑rooms, while wearing appropriate PPE.
• Comfortable operating in high‑profile, international, and high‑pressure environments.
• Genuine technical interest and passion about working within production.