Applied Materials

Automation Systems Engineer

Applied Materials
Equipment EngineeringSingapore,SGPOnsitePosted 4 weeks ago

About the role

AI summarised

The Automation Systems Engineer designs, develops, and implements automation and control systems for semiconductor and industrial applications. This role involves troubleshooting automation issues, collaborating with cross-functional teams, ensuring system reliability and compliance with Industry 4.0 standards, and leading junior engineers. The position requires expertise in robotics, vision systems, PLC/SCADA, programming languages, and industrial networking, with a focus on driving operational efficiency and sustainable solutions.

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Key Responsibilities

  • Design, develop, and implement automation and control systems for various applications
  • Troubleshoot and resolve issues related to automation, control, and data connectivity systems
  • Collaborate with cross-functional teams to identify automation opportunities and requirements
  • Develop and maintain documentation for automation, control, and data connectivity processes and systems
  • Ensure compliance with industry standards and best practices in automation, control, and Industry 4.0
  • Ensure the uptime and reliability of all equipment and systems
  • Deliver sustainable automation and control solutions that support long-term operational goals
  • Lead and mentor a team of junior automation, control, and data connectivity engineers
  • Provide technical guidance and support to team members
  • Drive continuous improvement initiatives within the automation, control, and data connectivity team
  • Communicate effectively with stakeholders at all levels of the organization
  • Enhance operational efficiency and productivity through effective automation, control, and data connectivity solutions

Requirements

  • Deep understanding of robotics applications, including robotic system integration, collaborative robots (cobots), and AI in robotics
  • Proficiency in vision systems engineering, including machine vision, image processing algorithms, and integration with automated equipment
  • Experience with assembly automation, including robotic arms, automated guided vehicles (AGVs), and conveyor systems
  • Knowledge of packaging automation, including automated packaging machinery, case erectors, palletizers, and stretch wrap machines
  • Expertise in electrical automation, including the design and implementation of control systems, sensors, and actuators to monitor and regulate electrical processes
  • Familiarity with