Process & Device Engineering
Originally posted 6 October 2026 by the employer.
AI-Enabled Metrology Data Analytics
About the role
This internship focuses on applying data analytics methods to evaluate and enhance metrology workstation conversion, aiming to improve process efficiency and measurement capability within semiconductor manufacturing processes. The intern will analyze metrology data and understand manufacturing process considerations to develop data-driven insights.
What you'll do
- Evaluate metrology workstation conversion performance using data analytics approaches.
- Identify process capability and efficiency trade-offs associated with workstation conversion.
- Explore AI-enabled methods to enhance data analysis efficiency and insight generation.
- Contribute to successful workstation conversion through data-driven recommendations.
- Partner with cross-functional engineering teams to understand workstation conversion requirements and evaluation criteria.
- Present findings and recommendations based on data analysis outcomes.
What you'll need
- Basic understanding of engineering principles, statistics, or data analysis concepts.
- Familiarity with data visualization and analytical tools.
- Interest in semiconductor manufacturing, metrology, and process engineering.
- Exposure to AI tools or AI-enabled analytical workflows.
- Currently pursuing Engineering or a related field of study.
- Ability to commit to a full-time internship for a minimum of 5 months, from January to May 2027.
Skills: metrology, data analytics, process efficiency, semiconductor manufacturing, workstation conversion, process integration