Research and prototype machine learning techniques for layout synthesis and design optimization
Assist in the development of parameterized cells (PCells) and layout generation workflows
Work on geometric, topological, and rule-aware layout generation techniques
Contribute to surrogate modeling and design space exploration frameworks
Build data generation, training, and evaluation pipelines for AI-driven EDA workflows
Develop software components in Python and potentially C++ under mentorship
Evaluate AI-assisted design methodologies using real-world semiconductor design problems
Collaborate with EDA engineers and RFIC designers to validate solutions
Qualifications
Minimum Qualifications
Currently pursuing a Master's or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, EDA/CAD, Applied Mathematics, or a related technical field
Strong programming skills in Python
Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
Solid understanding of data structures, algorithms, and object-oriented programming
Strong analytical and problem-solving skills
Interest in AI/ML applied to engineering design automation
Preferred Qualifications
Coursework or research in RFIC Design, Analog IC Design, VLSI Physical Design, EDA/CAD, or Semiconductor Design Automation
Familiarity with layout automation, PCell development, computational geometry, and design-rule-aware layout generation
Exposure to surrogate modeling, Bayesian optimization, reinforcement learning, and design space exploration techniques
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 schematic generation, layout synthesis, semiconductor design workflows, and next-generation AI-powered EDA tools
Interest in learning about multithreaded applications and desktop software development
Curiosity and eagerness to work in an Agile, collaborative team environment
CA Pay Range
Master's: Min $40.32 to Max $43.42
PhD: Min $40.32 to Max $53.67
Relocation is available.
Visa Sponsorship is not available for this position.
Please note, candidates must possess valid work authorization for the duration of the internship. International students requiring work authorization should work with their university to obtain and maintain appropriate CPT or other eligible employment authorization prior to the internship start date.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
At Keysight EDA, we are developing next-generation AI-powered Electronic Design Automation (EDA) technologies to accelerate RFIC and analog IC design. As an EDA AI/ML Layout Engineering Intern, you will contribute to innovative solutions that apply machine learning, optimization, and software engineering to automate layout generation, PCell development, and design space exploration.
Working alongside EDA engineers, AI researchers, and RFIC domain experts, you will help develop intelligent workflows that improve designer productivity and accelerate chip development.
Key Responsibilities
Develop AI and ML solutions for RFIC and analog layout automation
Research and prototype machine learning techniques for layout synthesis and design optimization
Assist in the development of parameterized cells (PCells) and layout generation workflows
Work on geometric, topological, and rule-aware layout generation techniques
Contribute to surrogate modeling and design space exploration frameworks
Build data generation, training, and evaluation pipelines for AI-driven EDA workflows
Develop software components in Python and potentially C++ under mentorship
Evaluate AI-assisted design methodologies using real-world semiconductor design problems
Collaborate with EDA engineers and RFIC designers to validate solutions
Minimum Qualifications
Currently pursuing a Master's or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, EDA/CAD, Applied Mathematics, or a related technical field
Strong programming skills in Python
Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
Solid understanding of data structures, algorithms, and object-oriented programming
Strong analytical and problem-solving skills
Interest in AI/ML applied to engineering design automation
Preferred Qualifications
Coursework or research in RFIC Design, Analog IC Design, VLSI Physical Design, EDA/CAD, or Semiconductor Design Automation
Familiarity with layout automation, PCell development, computational geometry, and design-rule-aware layout generation
Exposure to surrogate modeling, Bayesian optimization, reinforcement learning, and design space exploration techniques
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 schematic generation, layout synthesis, semiconductor design workflows, and next-generation AI-powered EDA tools
Interest in learning about multithreaded applications and desktop software development
Curiosity and eagerness to work in an Agile, collaborative team environment
CA Pay Range
Master's: Min $40.32 to Max $43.42
PhD: Min $40.32 to Max $53.67
Relocation is available.
Visa Sponsorship is not available for this position.
Please note, candidates must possess valid work authorization for the duration of the internship. International students requiring work authorization should work with their university to obtain and maintain appropriate CPT or other eligible employment authorization prior to the internship start date.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
