AI-Driven Internship: HBM Defect Analytics & Dashboard

Micron Technology, Inc.

Singapore

On-site

SGD 20,000 - 31,000

Full time

6 days ago
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Benefits offered by this job

Future full-time opportunities

Job summary

Micron Technology, Inc. is offering a full-time internship in the HBM PSE Package team at Singapore. The project focuses on AI-enabled defect library creation and an analytics dashboard to visualize defect data across test flows.

You will apply Python, statistics, and data management practices under guidance from experienced engineers. The role develops skills in semiconductor technology, data science, and engineering knowledge management, with opportunities for future full-time consideration

Qualifications

  • Pursuing a master’s degree or equivalent in electrical engineering, materials science, semiconductor tech, physics, or data science.
  • Proficiency in Python programming and data analytics.
  • Strong analytical and problem-solving abilities with a data-driven mindset.
  • Familiarity with dashboards, data visualization, and databases.

Responsibilities

  • Develop an interactive AI-enabled defect dashboard for defect data.
  • Organize engineering data into a structured, searchable repository.
  • Apply Python and statistical methods to analyze relationships in data.
  • Document methodology, deliverables, and project results.

Skills

Python programming
Data analytics
Analytical thinking
Dashboard development

Education

Electrical engineering
Materials science and engineering
Semiconductor technology
Physics
Data science

Tools

Database concepts
Data visualization
Statistical analysis tools

Job description

Micron Technology, Inc. is offering a full-time internship in the HBM PSE Package team at Singapore. The project focuses on AI-enabled defect library creation and an analytics dashboard to visualize defect data across test flows.

You will apply Python, statistics, and data management practices under guidance from experienced engineers. The role develops skills in semiconductor technology, data science, and engineering knowledge management, with opportunities for future full-time consideration

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