About the role
AI summarisedThis is an internship role in equipment development engineering at a semiconductor company, focusing on applying AI and machine learning to improve semiconductor equipment performance and reliability.
IndustrialFull-timeEngineering Services
Key Responsibilities
- Develop and implement machine learning models to predict equipment performance and optimize maintenance schedules.
- Analyze large datasets from semiconductor manufacturing equipment to identify patterns and anomalies.
- Collaborate with cross-functional teams to integrate AI solutions into existing equipment control systems.
- Design and run experiments to validate model accuracy and robustness.
- Document findings and present results to engineering teams and management.
- Contribute to the development of automated data pipelines for real-time equipment monitoring.
Requirements
- Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Physics, or a related field.
- Strong programming skills in Python; experience with C++ is a plus.
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Experience with data analysis and visualization tools (e.g., Pandas, Matplotlib).
- Understanding of semiconductor manufacturing processes is preferred.
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills.
- Ability to work independently and in a team environment.
- Prior internship or project experience in equipment engineering or AI/ML is a plus.