Device Modeling Software Intern

Keysight Technologies Singapore (Sales) Pte. Ltd....-; Singapore; On-site; SGD 17,000 - 23,000; Part time

Job summary

Keysight Technologies Singapore (Sales) Pte. Ltd. seeks a Device Modeling AI/ML Software Intern in Singapore to collaborate with engineers, modeling experts, and AI researchers to develop intelligent workflows for semiconductor model extraction, parameter optimization, and data analysis.

You will explore machine learning, optimization, and automation to improve device modeling productivity, with hands-on Python development and collaboration across IC-CAP, WaferPro, MBP, and MQA teams.

Qualifications

• Pursuing a Master’s or PhD in a technical field related to EDA/CAD, data science, or semiconductor engineering.
• Strong programming skills in Python and familiarity with ML frameworks.
• Knowledge of data structures, algorithms, and object-oriented programming.
• Interest in applying AI/ML to semiconductor engineering 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 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

Skills

Python programming

ML frameworks

Data structures & OOP

Analytical problem-solving

AI/ML in semiconductors

Education

Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, Semiconductor Engineering, EDA/CAD, Data Science

Tools

Git

PyTorch

TensorFlow

scikit-learn

C++

Rust

Job description

Overview

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

Our 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

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
• Experience analyzing large experimental or measurement datasets
• Experience with C++, Rust, or performance-oriented software development
• Exposure to software development on Windows or Linux platforms
• Familiarity with Git and modern software development practices
• Interest in AI-assisted device modeling, characterization automation, model quality assessment, and next-generation semiconductor design workflows
• Curiosity and eagerness to work in an Agile, collaborative team environment

***Keysight is an Equal Opportunity Employer.***