Applied Materials

Sustaining Automation Engineer

Applied Materials
Equipment EngineeringSingapore,SGPOnsitePosted 3 weeks ago

About the role

AI summarised

The Sustaining Automation Engineer is responsible for maintaining, troubleshooting, and optimizing automation and robotic systems in semiconductor manufacturing environments. This role requires hands-on expertise in PLCs, robotics, SCADA, and vision systems, along with strong collaboration and documentation skills to ensure equipment reliability and performance. The engineer drives continuous improvement initiatives while adhering to safety, quality, and industry standards.

EquipmentOnsiteEngineering

Key Responsibilities

  • Diagnose and resolve PLC, robotics, SCADA, vision system, and connectivity issues
  • Execute preventive and corrective maintenance to maximize uptime
  • Develop, modify, and optimize PLC and robotic programs
  • Design and validate robotic structures and end effectors
  • Calibrate parts, sensors, and components according to specifications
  • Update engineering specifications, drawings, and sustaining documentation
  • Collaborate with Manufacturing, Quality, and Vendors to resolve technical issues
  • Drive continuous improvement initiatives to enhance equipment performance
  • Ensure compliance with Applied Materials standards, SEMI regulations, and EHS requirements
  • Support spare parts management and supplier coordination

Requirements

  • Bachelor's Degree in engineering, robotics, mechatronics or other relevant studies
  • 5 years of relevant hands-on experience in automation, robotics, or sustaining equipment
  • Expert-level PLC programming (Siemens, Allen-Bradley, or equivalent)
  • Robotics programming experience (ABB, KUKA, FANUC, or similar)
  • Knowledge of robotic structure design, kinematics, and end effector integration
  • Proficiency in automation hardware and control system troubleshooting
  • Familiarity with SCADA systems and industrial networks
  • Understanding of vision systems and automated assembly processes
  • Industry 4.0 knowledge (IoT, AI, machine learning, cyber-physical systems)
  • Mechanical assembly and alignment experience
  • Strong technical documentation and interpretation skills
  • Skilled in diagnostic tools and calibration of sensors, actuators, and precision measurement