Lead and manage a multidisciplinary engineering team, including software developers, system architects, data engineers, IT support engineers, and cybersecurity engineers.
Provide strategic direction, technical leadership, and mentorship to ensure alignment with project goals, timelines, and quality standards.
Foster a collaborative, innovative, and high-performance engineering culture.
Ensure effective contribution from all team members toward smart factory development objectives.

Oversee the design, development, and integration of core systems, including MES (Manufacturing Execution System), APS (Advanced Planning & Scheduling), WMS (Warehouse Management System), and IoT platforms.
Lead the implementation of smart factory infrastructure across production cells, including:Cell #1: Glass QC InspectionCell #2: 5-Axis CNC Machine CenterCell #3: Auto Glass Loading SystemCell #4: Automated Glazing Sealant Dispensing RobotCell #5: Automated Conveyor Production LineCell #6: Packaging Robot System
Ensure seamless connectivity and real-time communication across all production stations and systems.
Drive the development of digital dashboards for real-time monitoring, analytics, and decision-making support.

Lead the design and implementation of digital twin solutions to enable real-time simulation, monitoring, and optimization of factory operations.
Ensure digital twin systems support operational efficiency, environmental sustainability, and continuous improvement goals.
Coordinate with internal and external stakeholders to track progress and ensure timely delivery of project milestones.

Ensure seamless integration between factory equipment, smart stations, and enterprise systems.
Oversee API development and system interoperability to enable secure and efficient data exchange.
Collaborate closely with system architects and cybersecurity engineers to ensure robust and scalable system architecture.

Monitor and analyze system performance across smart manufacturing operations.
Drive continuous improvement initiatives to enhance efficiency, reduce waste, and improve product quality.
Stay updated with emerging technologies in smart manufacturing, IoT, and digital twin systems to implement innovative solutions.

Work closely with cybersecurity engineers to ensure all systems comply with security standards, protocols, and best practices.
Ensure adherence to industry regulations, data privacy requirements, and system safety standards.
Identify and mitigate technical and operational risks across all smart factory systems.

Job Requirements

Bachelor’s or Master’s Degree in Computer Science, Engineering, Automation, Mechatronics, Information Technology, or related disciplines.
Minimum 5 years of experience in software engineering, industrial automation, smart manufacturing, or Industry 4.0 environments.
Proven experience in leading multidisciplinary technical teams (software, automation, data, IT, or cybersecurity teams).
Strong experience in smart factory systems such as MES, APS, WMS, IoT platforms, or similar manufacturing systems.
Solid understanding of industrial automation systems, robotics, and production line integration.
Experience in system integration, API development, and real-time data communication between systems and machines.
Knowledge or hands-on experience with digital twin technologies and real-time simulation systems is highly preferred.
Strong leadership, project management, and stakeholder management skills.
Good understanding of cybersecurity principles in industrial/OT (Operational Technology) environments.
Ability to work in fast-paced manufacturing or engineering project environments with tight deadlines.
Strong analytical, problem-solving, and decision-making skills.
Excellent communication skills to coordinate with internal teams and external stakeholders.

IT Support