PCBA Equipment Engineer

Eaton is an intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. We make products for the data center, utility, industrial, commercial, machine building, residential, aerospace and mobility markets.

What you'll do:

• Optimize PCBA manufacturing processes and equipment, including SMT, Wave Soldering, and Selective Soldering, to improve quality, efficiency, and process stability.

• Manage the selection, installation, commissioning, and lifecycle management of PCBA production equipment.

• Lead automation equipment and production line projects to enhance productivity, quality, and manufacturing flexibility.

• Drive equipment integration with MES and other manufacturing systems to enable digitalized and traceable production management.

• Establish and improve preventive maintenance (PM) and equipment reliability programs to maximize equipment uptime.

• Analyze equipment performance data to improve OEE, reduce downtime, and increase productivity.

• Support Smart Factory, Industry 4.0, and digital transformation initiatives.

• Collaborate with Production, Process Engineering, Quality, and IT teams to drive continuous improvement.

• Promote safety culture and improve machine guarding, electrical safety, and workplace safety standards.

• Develop and implement automation and digitalization solutions, including real-time data collection and analytics, to support operational excellence and business decisions.

• Bachelor's degree or above in Automation, Electrical Engineering, Mechanical Engineering, Electronics, or a related field.
• Minimum 6 years of experience in equipment engineering within the PCBA industry; experience in Wave Soldering processes is preferred.
• Proven track record in independently leading automation equipment selection, implementation, commissioning, and project management.
• Solid knowledge of PCBA manufacturing equipment, including operation principles, maintenance, and equipment management.
• Experience with MES, equipment connectivity, and industrial communication protocols (e.g., OPC UA, MQTT) is preferred.
• Experience participating in Industry 4.0 and smart manufacturing initiatives.
• Strong data analysis skills; proficiency in Excel, PowerPoint, and Power BI is preferred.
• Strong execution, problem-solving, project management, and cross-functional communication skills.
• Good verbal and written English communication skills.