AI Automation Intern: Generative AI for Engineering

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 13,000 - 20,000

Full time

3 days ago
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Job summary

Micron invites you to join the Test Solutions Engineering team for an AI-enabled automation internship focused on Python tooling and Generative AI applications in semiconductor test environments.

Work with cross-functional teams to develop reusable components and analytics, and contribute to PoCs and project documentation. The program runs for about five months in 2027, with potential opportunities for full-time employment.

Qualifications

  • Experience with Python programming in academic, personal, or project work.
  • Interest in Artificial Intelligence, Generative AI, LLMs, AI Assistants, or Agentic AI.
  • Familiarity with AI tools, prompt engineering, RAG, or AI-enabled workflows is advantageous.
  • Understanding of software development fundamentals and problem-solving methodologies.
  • Strong analytical thinking and communication skills.

Responsibilities

  • Develop Python-based automation modules or tools for engineering workflows.
  • Explore and evaluate Generative AI, LLMs, AI Assistants, and Agentic AI technologies for engineering applications.
  • Create reusable components, integrations, and analytics capabilities for broader automation initiatives.
  • Present technical findings, document project outcomes, and recommend future enhancements.
  • Collaborate with cross-functional engineering teams to deliver project objectives.

Skills

Python programming
AI/Generative AI interest
Analytical thinking
Communication skills

Education

Pursuing Bachelor’s degree

Job description

Micron invites you to join the Test Solutions Engineering team for an AI-enabled automation internship focused on Python tooling and Generative AI applications in semiconductor test environments.

Work with cross-functional teams to develop reusable components and analytics, and contribute to PoCs and project documentation. The program runs for about five months in 2027, with potential opportunities for full-time employment.

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