Intern: AI-Driven SSD Assembly & Process Eng

Micron Technology, Inc

Singapore

On-site

SGD 13,000 - 20,000

Full time

14 days+
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Job summary

Micron Technology, Inc. in Singapore invites applications for a full-time internship in SSD Assembly Process & Equipment Engineering. The role focuses on AI-enabled depanel process characterization and optimization within a high-volume manufacturing environment.

The project covers DOE studies, statistical analysis, data-driven optimization, and exploring AI-assisted analytics to accelerate insights. Ideal candidates pursue Mechanical, Electrical, or Manufacturing/Industrial Engineering and can

Qualifications

  • Foundational knowledge of process engineering, statistics, and manufacturing systems.
  • Interest in DOE, process characterization, and process optimization methodologies.
  • Familiarity with data analysis tools such as Python, JMP, Minitab, SQL, Power BI; exposure to AI-enabled analytical tools is advantageous.
  • Strong analytical thinking, problem-solving, and teamwork skills.

Responsibilities

  • Conduct DOE studies and process characterization for SSD depanel operations.
  • Analyze process and equipment data to identify variation sources and optimization opportunities.
  • Collaborate with cross-functional teams to validate findings and implement improvements.
  • Develop data visualizations and reports to communicate insights and recommendations.

Skills

Process engineering
Statistics
DOE
Data analysis
Python
JMP
Minitab
SQL
Power BI
AI tools awareness

Education

Mechanical Engineering
Mechatronics Engineering
Electrical Engineering
Manufacturing Engineering
Industrial Engineering
Materials Engineering

Tools

Python
JMP
Minitab
SQL
Power BI

Job description

Micron Technology, Inc. in Singapore invites applications for a full-time internship in SSD Assembly Process & Equipment Engineering. The role focuses on AI-enabled depanel process characterization and optimization within a high-volume manufacturing environment.

The project covers DOE studies, statistical analysis, data-driven optimization, and exploring AI-assisted analytics to accelerate insights. Ideal candidates pursue Mechanical, Electrical, or Manufacturing/Industrial Engineering and can

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