iDEA Project Engineer

Responsibilities

• Creates process standards, guidelines, work instructions, trainings for solutions being deployed by the team.
• Supports the creation of Industry iDEA playbook aligned to corporate direction, as required.
• Supports the design of fixtures necessary for the deployment of the solutions.
• Responsible of the installation of the solutions and projects in the plant.
• Coordinate various aspects of the installation of vision systems such as: HW installation, controls, network requirements and automation integration with the required resources from the plant.
• First point of contact for the plant team for the deployment of the solutions.
• Supports and coordinates testing and trials to be done on site with different plants.
• Ensures all Lear EHS standard and local authority regulations are complied with, during all projects
• Performs and documents technical studies and analysis made on different sites and with different conditions regarding the feasibility of implementation and for the installation itself.
• Prepares documentation needed by the plant to start with the deployment of the solution
• Supports on technical training to the key users of the plant regarding software, user interface, maintenance routines, etc.
• Proposes solutions to solve problems during installation and deployment and triggers actions to ensure these are done by the plant. Education Requirements
• University Degree ascertained in Mechatronics, Electrical, Mechanical, Controls, Automation Engineering or comparable discipline
• 3-5 years’ work experience in a related field or position within a manufacturing company
• Fluency in English language both written and verbal. Technical & Personal Requirements
• Experience in a manufacturing engineering role, automation engineering, machine vision engineering, controls engineering or robotics engineering.
• Machine vision and image processing knowledge: industrial cameras (Cognex, Keyence, etc). Lightening techniques and optics, lens selection and focal lengths, image acquisition and image quality optimization, pattern recognition, OCR/OCV, defect detection and classification, 2D and 3D vision systems.
• Automation and controls: PLCs, HMI systems, sensors and actuators, I/O wiring and commissioning, functional testing, safety systems and procedures (IEC wiring regulations, LOTO, ATEX/CompEx) and CE requirements
• Network and Industrial communication: knowledge regarding TCP/IP, IP addressing, subnetting, gateways, VLAN basics, profinet, ethernet/IP, troubleshooting communication issues between PLCs, HMIs, cameras, and servers.
• Preferred: some experience on programming and ML, DL knowledge for image analysis, training models and automation. Python, OpenCV, Tensorflow/Pytorch, vision system scripting tools, SQL databases, API integration.
• 3D model interpretation, knowledge of GD&T standards
• Confidence in presenting to peers and team leaders from plant and central organization
• Strong analytical skills / problem solving skills with accuracy and attention to detail
• Willingness and flexibility to travel within the role (approximately 50%).
• Ensures a safe working environment, follow, support, and maintain working practices, comply with all relevant HSE legislation and local policies and procedures.