Automation Engineer

VDL ETG Singapore

Singapore

On-site

SGD 60,000 - 110,000

Full time

9 hours ago
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Job summary

VDL ETG Singapore is seeking an Automation Engineer to design, develop, and implement AI‑driven robotic systems for automated assembly and inspection. You will collaborate with multidisciplinary teams to deliver high‑quality, reliable manufacturing solutions.

Ideal candidates have degrees in automation or related fields, strong programming skills in Python, experience with TensorFlow/PyTorch, and hands‑on knowledge of PLCs and industrial protocols like EtherCAT and Modbus.

Qualifications

  • Bachelor's or Master's degree in Automation Engineering, Robotics, AI, Mechatronics, Mechanical or related field.
  • Experience in automation engineering with a focus on AI and robotics is preferred.
  • Familiarity with PLC programming and industrial communication protocols (EtherCAT, Modbus, IoT, etc.).
  • Strong problem-solving abilities and analytical thinking.
  • Excellent communication and teamwork skills to collaborate with multidisciplinary teams.
  • Proficiency in programming languages (Python).
  • Proven track record in designing and deploying robotic systems and AI-driven inspection tools is preferred.
  • Knowledge of AI frameworks (TensorFlow, PyTorch) including machine learning algorithms and robotic platforms is preferred.

Responsibilities

  • Design and implement robotic systems for automated assembly processes
  • Liaise with stakeholders and develop AI-driven solutions for process optimization and defect detection
  • Identify Automation Opportunities in Manufacturing Processes
  • Ensure seamless communication between automation systems and other manufacturing tools
  • Troubleshoot and Maintain Automation Systems
  • Perform Preventive Maintenance to Ensure System Reliability
  • Train technicians and operators on the use of automated systems
  • Develop and Maintain Technical Documentation
  • Research and Implement Robotics and AI with MES for Real-Time Monitoring

Skills

Robotics
AI integration
Automation engineering
PLC programming
Industrial communication
Python
TensorFlow
PyTorch
Problem solving
Teamwork

Education

Bachelor's or Master's degree in Automation Engineering, Robotics, AI, Mechatronics, Mechanical or related field

Tools

PLC programming
TensorFlow
PyTorch

Job description

Purpose: To design, develop, and implement automation solutions for system integration and machine assembly processes to enhance productivity, minimize human errors, and ensure high-quality outputs. The role will focus on leveraging AI and robotics to achieve automated assembly and inspection solutions.

Key Area of Responsibilities
  • Design and implement robotic systems for automated assembly processes
  • Liaise with stakeholders and develop AI-driven solutions for process optimization and defect detection
  • Identify Automation Opportunities in Manufacturing Processes
  • Ensure seamless communication between automation systems and other manufacturing tools
  • Troubleshoot and Maintain Automation Systems
  • Perform Preventive Maintenance to Ensure System Reliability
  • Train technicians and operators on the use of automated systems
  • Develop and Maintain Technical Documentation
  • Research and Implement Robotics and AI with MES for Real-Time Monitoring
Requirements
  • Bachelor's or Master's degree in Automation Engineering, Robotics, AI, Mechatronics, Mechanical or a related field
  • Experience in automation engineering with a focus on AI and robotics is preferred
  • Familiarity with PLC programming and industrial communication protocols (EtherCAT, Modbus, IoT etc)
  • Strong problem-solving abilities and analytical thinking
  • Excellent communication and teamwork skills to collaborate with multidisciplinary teams
  • Proficiency in programming languages (e.g Python)
  • Proven track record in designing and deploying robotic systems and AI-driven inspection tools is preferred
  • Knowledge of AI frameworks (TensorFlow, PyTorch) including machine learning algorithm and robotic platforms is preferred
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