2 days ago
Calabasas, CA, USAIntern
Responsibilities
- Develop AI and machine-learning solutions for RFIC and analog layout automation.
- Research and prototype machine-learning techniques for layout synthesis and design optimization.
- Assist with parameterized cell (PCell) development and layout-generation workflows.
- Develop 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++.
- Evaluate AI-assisted design methodologies using real-world semiconductor design problems.
- Collaborate with EDA engineers and RFIC designers to validate solutions.
Requirements
- Currently pursuing a Master’s or PhD in Electrical Engineering, Computer Engineering, Computer Science, EDA/CAD, Applied Mathematics, or a related technical field.
- Strong programming skills in Python.
- Familiarity with PyTorch, TensorFlow, or scikit-learn.
- Understanding of data structures, algorithms, and object-oriented programming.
- Strong analytical and problem-solving skills and interest in AI/ML applied to engineering design automation.
- Preferred: coursework or research in RFIC design, analog IC design, VLSI physical design, EDA/CAD, or semiconductor design automation.
- Preferred: familiarity with layout automation, PCell development, computational geometry, and design-rule-aware layout generation.
- Preferred: exposure to surrogate modeling, Bayesian optimization, reinforcement learning, and design-space exploration.
- Preferred: experience with C++, Rust, or performance-oriented software development.
- Preferred: exposure to Windows or Linux software development, Git, multithreaded applications, or desktop software development.
Benefits
- Relocation is available.
- The internship does not provide visa sponsorship; candidates must have valid work authorization for the duration of the internship.
About Keysight
Keysight Technologies builds electronic test and measurement instruments and software used for design, validation, and manufacturing by engineers in communications, semiconductor, aerospace and defense, automotive, and data center markets. Its portfolio includes oscilloscopes, signal and network analyzers, RF/microwave test systems, and EDA and network test software, sold with services and support. Founded in 2014 as a spin-off from Agilent Technologies, Keysight is a public company (NYSE: KEYS) headquartered in Santa Rosa, California.