2 days ago
Singapore, SingaporeIntern
Responsibilities
- Assist in developing AI/ML solutions for semiconductor device characterization and compact model development.
- Contribute to intelligent parameter-extraction and model-fitting workflows.
- Analyze large-scale wafer measurement and characterization datasets using machine learning techniques.
- Explore AI-assisted model validation, quality assessment, and anomaly-detection approaches.
- Develop Python software components and data-processing pipelines.
- Build, train, and evaluate machine learning models for modeling and characterization workflows.
- Collaborate with experts working on IC-CAP, WaferPro Express, MBP, and MQA technologies.
- Participate in software design, code reviews, testing, and performance optimization.
- Investigate generative AI and agentic AI technologies for device-modeling automation and engineering productivity.
Requirements
- Currently pursuing a master’s or PhD in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, Semiconductor Engineering, EDA/CAD, Data Science, or a related technical field.
- Strong programming skills in Python.
- Familiarity with PyTorch, TensorFlow, or scikit-learn.
- Knowledge of data structures, algorithms, and object-oriented programming.
- Strong analytical and problem-solving skills and an interest in AI/ML applied to semiconductor technologies.
- Preferred: coursework or research in semiconductor devices, compact modeling, RF devices, analog/mixed-signal circuits, semiconductor physics, or EDA/CAD.
- Preferred: familiarity with semiconductor characterization, parameter extraction, compact model development, or SPICE modeling.
- Preferred: experience with machine learning techniques such as regression, optimization, surrogate modeling, anomaly detection, or predictive modeling.
- Preferred: familiarity with Bayesian optimization, parameter estimation, and design-space exploration.
- Preferred: experience analyzing experimental or measurement datasets.
- Preferred: experience with C++, Rust, or performance-oriented software development.
- Preferred: exposure to Windows or Linux software development and familiarity with Git.
About Keysight
Keysight Technologies builds electronic test and measurement instruments and software used for design, validation, and manufacturing by engineers in communications, semiconductor, aerospace and defense, automotive, and data center markets. Its portfolio includes oscilloscopes, signal and network analyzers, RF/microwave test systems, and EDA and network test software, sold with services and support. Founded in 2014 as a spin-off from Agilent Technologies, Keysight is a public company (NYSE: KEYS) headquartered in Santa Rosa, California.