Process Automation Engineer (IIoT) - Permanent Role

Location Singapore
Job reference BBBH120733_1666778106
Salary Negotiable
Consultant name Sharma Kristine Joy Padua
Consultant email
Consultant contact no. 6232 8814
EA License No. 02C3423
Consultant Registration No. R2090931

This position is responsible for managing and developing production automation control systems, working with robotics and Industrial Internet of Things (IIoT) technologies and for monitoring/maintaining automation equipment, analysing data on automation equipment, and responding to current and new model production.

Roles and responsibilities:

  • Responsible for production control systems, working with PLCs or PC-based controllers
  • Interface with other control/management systems, such as MES, AGV/AMR fleet management system, smart logistics system
  • Manage manufacturing processes, including process optimisation and cycle time reduction
  • Prepare for New Product Introduction, including installation and commissioning
  • Conduct simulation and offline testing for new model/new parts (CPS production pre-verification)
  • Improve existing and/or develop new automation manufacturing techniques, including vision systems and robotic grippers
  • Work with maintenance team to devise Hardware / Software maintenance plan
  • Utilise monitoring systems to measure and track production status in real time
  • Collaborate with other teams to analyse production data, applying AI and machine learning to devise improvement plans


  • Bachelor of Engineering in Computer Science, Electrical/Mechanical Engineering or relevant disciplines
  • 3 to 5 years of experience in PLC programming (Siemens TIA portal)
  • Experience in integrating with automation equipment such as servo drives (Siemens)
  • Experience in pnematic systems, such as solenoid/electronic valves and cylinders (SMC, Festo)
  • Basic understanding of industrial and collaborative robots (Kawasaki, Doosan, KUKA, UR)
  • Basic understading of vision systems (2D and 3D)
  • Experience in manufacturing processes and data analysis for automation manufacturing equipment
  • Technical skills in examining manufacturing technique and conducting Digital Process Analysis using AutoCad, CATIA
  • Technical skills in developing and applying automation manufacturing technique by using PLC, robot, vision, automation design, software program
  • Understanding in manufacturing process optimization
  • Proficiency with Microsoft Office

Sharma Kristine Joy Padua License No.: 02C3423 Personnel Registration No.: R2090931

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