Senior Equipment Engineer (Master’s New Graduate | 0-2 Years Experience)
Core
Design, integrate, and maintain process equipment (mechanical, electrical, software, AI, automation) for stable, reliable, and efficient performance in manufacturing lines.
Role type
Senior Equipment Engineer (Master's New Graduate)
Builds
Process equipment, automation tooling, and manufacturing capability
Domain
Manufacturing / Automation / AI / Surface finishing and polishing
Required skills
Equipment troubleshooting, installation, qualification, modification, automation, electrical drawings, wiring layouts, software debugging, control systems, mechanical/electrical component design, process parameter monitoring, maintenance procedures, equipment characterization, SOP development, safety procedures, cost optimization, data analysis
Preferred skills
Hands-on equipment/automation/electrical/mechanical systems knowledge, problem-solving, troubleshooting, analytical skills, CMP experience, polishing automation, AI-based process control, robotics
Technologies
AI, automation technologies, robotics, control systems
Responsibilities
Troubleshoot, install, qualify, modify, and continuously improve equipment across manufacturing lines; Develop and implement equipment automation and upgrades using AI and latest automation technologies; Prepare and maintain electrical drawings, wiring layouts, software debugging, and control systems; Integrate equipment modules and systems to ensure stable operation; Design, modify, and assemble mechanical and electrical components; Monitor and optimize process parameters for consistent output quality; Develop maintenance, troubleshooting, and testing procedures; Perform equipment characterization and capability studies; Support equipment design, modification, expansion, and automation projects; Prepare and maintain SOPs, safety procedures, environmental requirements, and HIRAC documentation; Provide technical and safety training; Collaborate with process, manufacturing, automation teams, and suppliers; Monitor and optimize consumable usage and equipment-related costs; Collect and analyze equipment-related data for continuous improvement and predictive maintenance
