Micron Technology

Smart System Technician

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 1 month ago

About the role

AI summarised

As a Smart Systems Technician at Micron in Singapore, you will provide first-line software support, maintain and improve system solutions, and collaborate with cross-functional teams to enhance operational efficiency in semiconductor manufacturing. You will work with internal and third-party applications, monitor performance, assist in database health, and contribute to AI-driven automation initiatives. This role supports HBM, component assembly/test, and SSD operations through technical troubleshooting, system alignment, and knowledge sharing.

IDMOnsite

Key Responsibilities

  • Provide first-line support and troubleshooting for software-related issues in manufacturing operations, ensuring timely resolution and minimal disruption
  • Assist in the deployment, maintenance, and improvement of system solutions, including both internal Micron applications and third-party vendor applications
  • Explore opportunities to introduce new systems, including AI-powered analytics and automation tools, to improve organizational efficiency through system solutions
  • Adapt and align to Micron enterprise systems to support software applications using approved software languages, databases, and standard tools
  • Analyze gaps and proactively suggest measures to improve the efficiency of existing systems, keeping abreast of the latest AI technologies
  • Collaborate with business users, IT, and engineering teams to define requirements, resolve issues, and support improvement efforts
  • Coordinate and support the health of databases, including basic backup and recovery tasks, and maintain documentation and procedures

Requirements

  • Nitec/Higher Nitec/Diploma in Computer/Electrical/Electronics Engineering, Computer Science, or related field
  • Proficient in programming languages (Python, C#, ASP.net, SQL, HTML, etc.)
  • Familiar with database technologies (Microsoft SQL, Oracle, etc.)
  • Knowledge of software development life cycle and methodology