Automation Engineer — AI-Driven Factory Robotics

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD is seeking an automation software engineer to design, develop, deploy, and maintain factory automation solutions. You will work with site teams to enhance scheduling, material delivery robotics, and in‑house equipment automation, delivering reliable systems and data‑driven improvements.

The role emphasizes end‑to‑end ownership, AI integration, and a strong growth mindset, with opportunities to influence production efficiency and digital transformation

Qualifications

• Master’s or Bachelor's degree in Electrical & Electronic Engineering, Mechanical Engineering, Computer Science, Data Science, or a related field.
• Strong proficiency in Perl and/or Python, SQL, and web technologies (Angular, HTML, CSS).
• Hands-on experience with Linux-based systems (Ubuntu, Debian, RHEL, AlmaLinux) including scripting.
• Experience with cloud platforms, preferably Google Cloud Platform (GCP).
• Experience with Tableau or PowerBI is an advantage.
• Hands-on experience or practical exposure to AI and Machine Learning techniques is an advantage.
• Demonstrated leadership potential through teamwork, collaboration, or involvement in activities beyond academic coursework.
• Strong growth mindset with a passion for continuous learning and self-improvement.
• Excellent problem-solving skills with a structured and logical approach.
• Clear, concise, and effective communication skills.

Responsibilities

• Design, develop, deploy, and maintain automation software solutions for factory operations.
• Work closely with site manufacturing teams to understand operational needs and develop automated scheduling solutions that improve productivity, cycle time, and system efficiency.
• Collaborate with global factory automation teams to enable and integrate autonomous mobile robot solutions for automated material delivery within the factory.
• Partner with global equipment and automation groups to develop, enhance, and support in-house equipment automation, ensuring performance, reliability, and scalability of production systems.
• Own the end-to-end lifecycle of automation solutions, including understanding requests, solution design, development, deployment, monitoring, and continuous evaluation and improvement.
• Identify opportunities for automation, optimization, and performance improvement using data analysis, system monitoring, and visualization tools (e.g., dashboards and reports).
• Support day-to-day production operations by troubleshooting automation systems, resolving issues, and driving continuous improvement initiatives.
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and compliant with organizational standards and legal requirements.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Skills

Perl

Python

SQL

Web technologies (Angular, HTML, CSS)

Linux

Google Cloud Platform (GCP)

Tableau/PowerBI

AI/ML exposure

Leadership potential

Growth mindset

Problem-solving

Communication skills

Digital fluency & AI literacy

Education

Master’s or Bachelor’s degree in Electrical & Electronic Engineering, Mechanical Engineering, Computer Science, Data Science, or a related field

Tools

Linux-based systems (Ubuntu, Debian, RHEL, AlmaLinux)

Google Cloud Platform (GCP)

Tableau/PowerBI

Job description

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD is seeking an automation software engineer to design, develop, deploy, and maintain factory automation solutions. You will work with site teams to enhance scheduling, material delivery robotics, and in‑house equipment automation, delivering reliable systems and data‑driven improvements.

The role emphasizes end‑to‑end ownership, AI integration, and a strong growth mindset, with opportunities to influence production efficiency and digital transformation