
Intern- Solutions Engineer
Micron Technology12 hours ago
Singapore, SingaporeIntern
Responsibilities
- Develop Python-based automation prototypes, scripts, and notebooks.
- Create proof-of-concept AI agents for intake, classification, and query workflows.
- Explore predictive modeling techniques using sample or historical datasets.
- Develop prototype connectors and data pipelines for knowledge integration use cases.
- Evaluate AI model behavior through controlled testing and analysis.
- Document architecture patterns, design decisions, and project learnings.
- Present the project approach, outcomes, and learnings at the end of the internship.
Requirements
- Be a student or recent graduate in Computer Science, Data Science, Software Engineering, Information Technology, Industrial Engineering, or a related technical discipline.
- Demonstrate programming fundamentals with an emphasis on Python.
- Have a basic understanding of software development concepts.
- Show interest in AI, automation, and data-driven systems.
- Demonstrate analytical thinking and problem-solving ability.
Benefits
- Structured mentorship and guidance from senior Solutions Engineers and Process Architects.
- Hands-on exposure to AI agents, automation workflows, predictive modeling, data pipelines, API-based integration, and Knowledge Lake architecture.
- Project-based, full-semester internship with a minimum duration of six months.
- Work in a controlled, non-production environment with a final technical project presentation.
Tech Stack
Categories
Solutions Engineering
About Micron Technology
Micron Technology designs and manufactures memory and storage semiconductors—DRAM, NAND, NOR and SSDs—sold to device makers, cloud providers, and embedded/automotive markets. Founded in 1978 and headquartered in Boise, Idaho, it operates globally and sells under the Micron and Crucial brands as a public company (NASDAQ: MU). Its products support data center, AI, mobile, and PC systems, including high-bandwidth and multichip packages for performance- and space-constrained applications.