Device Modeling Software Intern

Keysight Technologies SAles Spain SL.; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Keysight Technologies in Singapore is seeking a Device Modeling AI/ML Software Intern to collaborate with software engineers and AI researchers on intelligent workflows for semiconductor model extraction and validation.

You will explore how ML and AI-assisted automation can enhance device modeling productivity, build ML models, and work with IC-CAP, WaferPro, MBP, and MQA tools in a hands-on internship.

Qualifications

• Currently pursuing a Master’s or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• Strong programming skills in Python.
• Familiarity with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Knowledge of data structures, algorithms, and object-oriented programming.
• Strong analytical and problem-solving skills.
• Interest in AI/ML applied to semiconductor workflows.

Responsibilities

• Assist in developing AI/ML solutions for semiconductor device characterization and compact model development.
• Contribute to intelligent parameter extraction and model fitting workflows.
• Support development of machine learning techniques for analyzing large-scale wafer datasets.
• Explore AI-assisted approaches for model validation, quality assessment, and anomaly detection.
• Develop software components and data processing pipelines in Python.
• Build, train, and evaluate ML models for modeling workflows.
• Collaborate with domain experts on IC-CAP, WaferPro, MBP, and MQA technologies.
• Participate in software design, code reviews, testing, and performance optimization activities.
• Investigate generative AI and agentic AI technologies to automate workflows.

Skills

Python programming

PyTorch

TensorFlow

scikit-learn

Data structures

Algorithms

OOP

Analytical thinking

Education

Master's or PhD in EE/CS

Tools

SPICE modeling

EDA/CAD

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

At Keysight EDA, we are advancing the next generation of semiconductor device modeling and characterization solutions used by leading foundries, IDMs, and semiconductor companies worldwide. Our products, including IC-CAP, WaferPro Express, Model Builder Program (MBP), and Model Quality Assurance (MQA), enable extraction, validation, and deployment of compact transistor models used in advanced process technologies.

As a Device Modeling AI/ML Software Intern, you will work with software engineers, device modeling experts, and AI researchers to develop intelligent workflows for semiconductor model extraction, parameter optimization, characterization data analysis, and model quality assessment. You will explore how machine learning, optimization, and AI-assisted automation can improve device modeling productivity and accuracy for advanced semiconductor technologies.

• Assist in developing AI/ML solutions for semiconductor device characterization and compact model development
• Contribute to intelligent parameter extraction and model fitting workflows
• Support development of machine learning techniques for analyzing large-scale wafer measurement and characterization datasets
• Explore AI-assisted approaches for model validation, quality assessment, and anomaly detection
• Develop software components and data processing pipelines in Python
• Build, train, and evaluate machine learning models for modeling and characterization workflows
• Collaborate with domain experts working on IC-CAP, WaferPro, MBP, and MQA technologies
• Participate in software design, code reviews, testing, and performance optimization activities
• Investigate generative AI and agentic AI technologies to automate device modeling workflows and engineering productivity

Qualifications

Minimum Qualifications

• Currently pursuing a Master's or PhD degree 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 machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
• Knowledge of data structures, algorithms, and object-oriented programming
• Strong analytical and problem-solving skills
• Interest in AI/ML applied to semiconductor technologies and engineering workflows

Preferred Qualifications

• Coursework or research in semiconductor devices, compact modeling, RF devices, analog/mixed-signal circuits, semiconductor physics, or EDA/CAD
• Familiarity with semiconductor characterization, parameter extraction, compact model development, or SPICE modeling concepts
• Exposure to machine learning techniques for regression, optimization, surrogate modeling, anomaly detection, or predictive modeling
• Familiarity with optimization, Bayesian optimization, parameter estimation, and design space exploration techniques