About the role
AI summarisedThis internship involves applying machine learning techniques to improve physical verification processes in semiconductor design. The role focuses on developing ML systems for anomaly detection and trend analysis in chip layout verification, working closely with data engineers to build and refine data pipelines. Candidates will gain hands-on experience with ML frameworks and tools while contributing to cutting-edge semiconductor process technology validation.
FablessOnsiteChip Design
Key Responsibilities
- Design, develop and improve machine learning system
- Work closely with Data engineer on Data and ML pipelines
- Study, transform, convert and select data sets
- Research and implement appropriate ML algorithms and tools
- Run machine learning tests and experiments
- Train/retrain ML models/system when necessary
Requirements
- Currently enrolled in your BSc/MSc from reputable university
- Proficiency in Python and hands on experience with Python libraries such as NumPy, pandas, matplotlib
- Excellent communication skills, self motivated and well organized
- Can do attitude, willing to learn and always curious
- Experience in using ML framework (Scikit learn, Pytorch, TensorFlow, Keras)
- Knowledge with SQL database, MongoDB and cloud infrastructure (GCP)
- Coursework related to integrated circuit design or semiconductor physics