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MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. is seeking an automation software engineer to design, implement, and maintain systems that optimize factory operations.
You will collaborate with site teams to optimize scheduling and material delivery using autonomous robots and in-house automation tools. You will work with global automation groups to enable AI-powered processes, leverage data dashboards, and ensure reliability and scalability of production systems.
Job Description
Design, develop, deploy, and maintain automation software solutions supporting factory operations, including autonomous material delivery, factory scheduling, and in-house equipment automation.
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 andcomplying withorganizational standards and legal requirements.
Contributes to a culture of continuous improvement byidentifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
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), with demonstrated ability to rapidly learn new programming languages and frameworks.
Hands-on experience with Linux-based systems (e.g., Ubuntu, Debian, RHEL, AlmaLinux), including system usage, scripting, and troubleshooting.
Experience working with cloud platforms, preferably Google Cloud Platform (GCP), including deployment, data processing, or infrastructure usage.
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.
Ability to apply baseline digital fluency androle‑appropriate AIliteracy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.
People – Respect, develop, and empower others
Innovation – Drive continuous improvement and breakthrough thinking
Tenacity – Show grit and determination
Collaboration – Build trust and foster teamwork
Customer Focus – Deliver excellence and value