Semiconductor Equipment Automation Engineer

Vanguard International Semiconductor Company; Singapore; On-site; SGD 36,000 - 48,000; Full time

Job summary

Vanguard International Semiconductor Company is seeking an Automation Support professional to design, install, and refine automation systems for semiconductor equipment and processes. You will assist with integration, maintenance, and collaboration across engineering, IT, and production teams.

The role emphasizes data collection, troubleshooting, and continuous learning to improve equipment efficiency and reduce downtime in a fast-paced manufacturing environment.

Qualifications

• 1-3 years of experience in automation, equipment engineering, or a related technical field.
• Basic knowledge of automation systems such as PLCs, SCADA, robotics, or DCS.
• Familiarity with programming languages (e.g., VB.NET, VB6, C++) and software used in automation systems.
• Strong analytical and problem solving skills, with a willingness to learn.
• Strong communication skills, with the ability to work in a team oriented environment.

Responsibilities

• Design, install, maintain, and improve automation systems for semiconductor equipment.
• Assist in diagnosing and resolving automation-related issues to prevent downtime.
• Collect performance data and prepare reports identifying trends and improvements.
• Collaborate with equipment engineering, IT, and production on automation projects.
• Document repairs and ensure compliance with company standards and regulations.

Skills

Automation systems

PLC

SCADA

Robotics

DCS

VB.NET

VB6

C++

Analytical skills

Teamwork

Tools

SCADA software

PLC programming tools

Job description

Vanguard International Semiconductor Company is seeking an Automation Support professional to design, install, and refine automation systems for semiconductor equipment and processes. You will assist with integration, maintenance, and collaboration across engineering, IT, and production teams.

The role emphasizes data collection, troubleshooting, and continuous learning to improve equipment efficiency and reduce downtime in a fast-paced manufacturing environment.