Intern - ID1 ATE PI Engineer

What you'll do

• Analyze electrical, inline, process, and yield data to identify performance gaps, yield detractors, and anomalies.
• Support process-module integration, optimization, experiments, and yield-improvement efforts with cross-functional engineering teams.
• Develop analytical methods, dashboards, and reports, and communicate technical findings and recommendations.

What they ask for

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Materials Science and Engineering, Chemical Engineering, Physics, or a related technical field.
• Fundamental understanding of semiconductor devices, processing, or manufacturing principles.
• Experience with statistical data analysis and interpretation of technical data.
• Strong analytical and problem-solving skills, with the ability to communicate findings in a collaborative environment.

Nice to have

• Knowledge of semiconductor fabrication, DRAM processes, CMOS, or capacitor fundamentals; experience with SPC, DOE, correlation analysis, or yield analysis.
• Experience with JMP, Excel, Python, scripting, automation, dashboards, data visualization, AI tools, or interest in Agentic AI workflows.

Tools

JMP, Excel, Python, SPC, DOE

AI focus

Use data analytics, visualization, automation, and AI-assisted technologies to improve engineering work and decision-making; leverage AI in day-to-day tasks. Interest in developing Agentic AI workflows is preferred.