AI/ML EDA Intern: Design Automation for RFIC

Anite; Calabasas (CA); On-site; USD 55,545,000 - 73,936,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Keysight EDA is seeking an AI/ML Software Intern to contribute to intelligent design automation tools for RFIC and analog circuit design. Work with engineers, AI researchers, and domain experts to explore AI applications in schematic generation, layout automation, device modeling, and design optimization workflows.

You will prototype ML models, implement software components in Python, and assist in integrating ML algorithms into Windows desktop applications.

Qualifications

• Pursuing a Master’s or PhD in CS, EE, CE, or related field.
• Strong Python programming skills.
• Familiarity with ML/DL frameworks (TensorFlow, PyTorch, scikit-learn).
• Knowledge of data structures, algorithms, and OOP.
• Interest in systems programming and performance-aware development.
• Exposure to UI frameworks or visualization libraries (PySide6, Qt, matplotlib, React).
• Familiarity with AI for RFIC/analog circuit design and PCells is a plus.

Responsibilities

• Prototype and implement AI/ML models for design automation workflows.
• Develop, test, and refine software components in Python (and possibly C++/Rust).
• Support integration of ML algorithms into Windows desktop applications.
• Contribute to data preprocessing, model training, and evaluation pipelines.
• Collaborate in code reviews, debugging, and performance testing.
• Adopt software engineering best practices in a professional environment.

Skills

Python

ML frameworks

Data structures

OOP

Systems programming

UI frameworks

PCells

Optimization

Education

Master's degree in CS/EE/CE

PhD in related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Keysight EDA is seeking an AI/ML Software Intern to contribute to intelligent design automation tools for RFIC and analog circuit design. Work with engineers, AI researchers, and domain experts to explore AI applications in schematic generation, layout automation, device modeling, and design optimization workflows.

You will prototype ML models, implement software components in Python, and assist in integrating ML algorithms into Windows desktop applications.