Intern - Process & Equipment Engineering
Core
Develop AI-enabled applications and digital workflows to improve engineering productivity, data analysis, and decision-making in semiconductor manufacturing.
Role type
Intern, AI and Data Analytics Engineer
Builds
AI-enabled applications, analytical models, automated digital workflows
Domain
Semiconductor manufacturing, Process and Equipment Engineering
Deliverable
production ML models
Required skills
Python, SQL, R, Artificial Intelligence, machine learning, Generative AI, statistical analysis, data visualization, workflow automation
Preferred skills
Chemical Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, Computer Science, Data Science, Mathematics, Physics
Technologies
Python, SQL, R, Generative AI, Large Language Models, Agentic AI
Responsibilities
Identify process or equipment engineering use cases for AI solutions, explore manufacturing datasets, design and develop AI-enabled applications, test and validate solutions, document methodology and present findings
Seniority
Intern
