CareerPlan

Engineer, IT

Fab 10W, SingaporeFull-time2026-10-16 → 2026-11-10

Core

Manage the application lifecycle for software systems in a highly automated semiconductor manufacturing environment.

Role type

Senior IC IT Engineer (Manufacturing Automation)

Builds

Software systems and automation tools for semiconductor manufacturing

Domain

Semiconductor manufacturing / IT Infrastructure

Required skills

C#, C++, Perl, .NET Core, Angular, SQL, Software Project Management, Agile Methodology, Secure Software Development Lifecycle, Systems Monitoring, AI-powered development tools

Preferred skills

Manufacturing Automation trends knowledge, Technical and business analysis, Global team collaboration

Technologies

C#, C++, Perl, .NET Core, Angular, SQL

Responsibilities

Involve in application lifecycle management for software systems in a highly automated semiconductor manufacturing environment; Develop a keen understanding of IT and Manufacturing Automation trends and apply the knowledge to participate in technical and business analysis sessions to understand requirements; Collaborate with global IT team from divest backgrounds and experiences to convert those requirements into effective and efficient technical solutions; Serve as IT technical authority within Micron, provide advice and recommendations to senior management on improvements from processes, procedures and software system development; Ensure Secure Software Development Lifecycle standard, requiring adherence to security best practices during development, deployment and maintenance; Ensure a good quality software releases with detail software acceptance testing, verification and end-users training; Keep applications software and hardware systems to the most current production releases version by applying update and patches as required; Develop capabilities to prevent unscheduled downtime with systems monitoring to identify and fix abnormalities actively; Leveraging AI-powered development, automation and analytic tools to improve software delivery, code quality, and operational efficiency; Continuously develop AI proficiency and adopt emerging technologies to accelerate innovation and business value creation.