iDEA Project Engineer

Lear For You

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Job Description

Industry 4.0 within Lear Corporation is underpinned through the integration of intelligent digital technologies and analytical systems into manufacturing and industrial processes. Lear Corporation’s industry 4.0 strategy is primarily divided into 2 key operating functions. Firstly, the successful project management and execution of industry 4.0 initiatives into our manufacturing operations. Secondly, the digital analysis and data gleaned from visual management systems ensuring Lear takes informed decisions across its wider business maximizing our operational efficiency whilst upholding the highest quality standards ensuring that Lear’s operational and financial objectives can be achieved.

As part of the EU iDEA Team, the iDEA Project Engineer is tasked with coordinating and supporting the execution of the iDEA projects within the fields of Robotics, Automation, Maintenance, Digital Twin, Vision Systems and EOL Systems with the aim of operationalizing them into EU & Africa JIT, Trim and Structures Plants, as part of the EU I4.0 strategy. Working as part of the deployment team specifically for vision systems and AI projects being implemented across the plants by managing key aspects of each project whilst supporting communication with designated suppliers, collaborating with plant teams to deliver working solutions that align with Lear’s overall iDEA strategy. With increasing focus on vision systems, the iDEA Project Engineer would need to have several years of experience working with industrial cameras and integrating them into their manufacturing processes.

Responsibilities

• Responsible of the installation of the solutions and projects in the plant.
• Coordinates 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 onsite testing and trials 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.
• 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

Must Have:
Experience in a manufacturing engineering role, automation engineering, machine vision engineering, controls engineering or robotics engineering including;

• 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:

• Understanding of AI enabled vision systems and their application within manufacturing environments.
• Knowledge of machine learning and deep learning concepts as applied to automated inspection and quality control systems.
• Understanding of databases, data collection systems, and manufacturing data analysis.
• Exposure to Industry 4.0 technologies such as Digital Twin, MES integration, industrial IoT, and data visualization systems.
• Knowledge of devices for edge computing (NVIDIA Jetson, Google Coral).
• 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.

Equal Opportunity Employer

Lear Corporation is committed to fair, merit‑based employment practices and equal opportunity.

We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.

Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.