Photolithography Software & Automation Engineer Intern

Micron; Singapore; On-site; SGD 20,000 - 33,000; Full time

Job summary

Micron Singapore is seeking an intern for the Large-Scale Photolithography Software Stack Integration Project within the Photolithography Engineering team. You will collaborate with process, equipment, data, and manufacturing engineers to design and develop software solutions that transform large-scale manufacturing data into actionable insights and automated workflows.

The project covers desktop, web-based, backend, or data-centric applications, data pipelines, visualization, and AI-enabled

Qualifications

• Working-level experience with Python, JavaScript, C#, Go, or shell scripting; comfortable in Linux/UNIX environments.
• Familiar with modern software development tools: Git, SQL, CI/CD, containers, and automated testing.
• Strong analytical and problem-solving skills; able to learn new technologies and collaborate across teams.
• Familiar with AI Assistants, Generative AI, AI, Agentic AI, and Large Language Models.

Responsibilities

• Design and develop software solutions for photolithography engineering and manufacturing data workflows.
• Integrate equipment, databases, MES, and engineering platforms via APIs and data interfaces.
• Develop scalable data pipelines, visualization platforms, and workflow automation for analytics and decision-support.
• Explore AI approaches to enhance data accessibility, insights, and automation.

Skills

Python

JavaScript

C#

Go

Shell scripting

Linux/Unix

Git

SQL

CI/CD

Containerization

Automated testing

AI Assistants

Generative AI

Large Language Models

Education

Bachelor’s or Master’s degree in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering / Data Science / Mathematics / Physics

Tools

Git

SQL

PostgreSQL

Oracle

Job description

Micron Singapore is seeking an intern for the Large-Scale Photolithography Software Stack Integration Project within the Photolithography Engineering team. You will collaborate with process, equipment, data, and manufacturing engineers to design and develop software solutions that transform large-scale manufacturing data into actionable insights and automated workflows.

The project covers desktop, web-based, backend, or data-centric applications, data pipelines, visualization, and AI-enabled