AI/ML Software Engineer - Semiconductor Device Modeling

Anite; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Keysight is seeking a Device Modeling AI/ML Software Engineer to develop intelligent software for accelerated semiconductor characterization and compact model extraction. You will collaborate with AI/ML experts and domain specialists to integrate next-generation AI techniques into device modeling workflows.

The role focuses on AI-assisted parameter extraction, model calibration, and anomaly detection across CMOS, RF, and analog/mixed-signal domains, contributing to software architecture and

Qualifications

• Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, Semiconductor Engineering, EDA/CAD, Data Science
• 5+ years of software development experience in scientific/engineering/EDA/semiconductor domains
• Strong Python programming and OO software development skills
• Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Familiarity with software engineering fundamentals and debugging

Responsibilities

• Design and develop AI/ML-driven solutions for semiconductor device characterization and model extraction
• Develop software features for IC-CAP, WaferPro, MBP, MQA and related device modeling products
• Apply ML and statistical modeling to improve model extraction accuracy and productivity
• Build scalable data pipelines for AI-powered workflows
• Collaborate with domain experts to integrate AI into device modeling solutions
• Research surrogate modeling and generative AI approaches to reduce turnaround time

Skills

Python

Object-oriented programming

Machine learning

Data analysis

Debugging

Education

Master's/PhD in EE/CE/CS/Applied Physics/Data Science

Tools

PyTorch

TensorFlow

scikit-learn

IC-CAP

WaferPro Express

MBP

MQA

Job description

Keysight is seeking a Device Modeling AI/ML Software Engineer to develop intelligent software for accelerated semiconductor characterization and compact model extraction. You will collaborate with AI/ML experts and domain specialists to integrate next-generation AI techniques into device modeling workflows.

The role focuses on AI-assisted parameter extraction, model calibration, and anomaly detection across CMOS, RF, and analog/mixed-signal domains, contributing to software architecture and