Vision Automation Engineer
- Compensation
- Not disclosed
- Location
- Skellefteå, Västerbottens län, Sverige
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Industrial engineering
- Posted
Skills
Must have
- Bachelors 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, P
- Experience of working with industrial camera systems, optical components, and lighting techniques, including the selection, configuration, and calibration of camera hardware for manufacturing inspecti
- 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 experience inte
- Experience developing and optimising image processing pipelines and vision algorithms for applications such as defect detection, pattern recognition, and dimensional verification, with familiarity wit
- Experience in writing technical documentation including inspection requirement specifications, algorithm validation reports, vision system configuration records, functional design, UML, test cases, an
- Experience with image processing software and programming tools relevant to industrial vision applications, such as Python, C++, OpenCV, or equivalent vision libraries, with the ability to develop, te
- Experienced continuous improvement and root cause analysis.
Full description
Job Scope
High level purpose of function.
A Vision 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. They are responsible for programming, troubleshooting, and improving cameras, lighting configurations, and image processing algorithms, supporting both legacy production line re-commissioning and new vision system installations. The role also includes ensuring accurate data transfer, system connectivity, and smooth communication with PLCs, SCADA, and upper-level MES platforms to enable inline defect traceability, dimensional inspection, and digital integration. Close collaboration with production, engineering, and maintenance teams is required to identify and implement solutions that improve quality, throughput, and equipment uptime. A strong focus is placed on continuous improvement, safety, and scalability to meet the growing demand for electric vehicle battery production.
Key Responsibilities
Overall areas of responsibilities and activities
Key responsibilities include (but are not limited to)
- 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 (Project timeline dependent).
- Lead vision system integration and optical calibration during equipment commissioning and line re-starts (Project timeline dependent).
- Develop and reverse-engineer the vision inspection systems to be implemented in the production and logistics equipment in the factory, as well as the 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 the 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. (Project timeline dependent).
- Contribute to technical improvements, development and optimization of software processes internally in the automation team
- The role requires regular presence on the production floor, with a minimum of approximately 25% of working hours spent on-site. Depending on project needs (such as line re-commissioning), there may be periods where up to 100% of working hours are required on the shop floor.