AI/CAD Software Engineer
Core
Develop AI-driven tools to automate RF hardware design, optimize Power Amplifier (PA) performance, and accelerate tape-out processes.
Role type
Senior IC machine-learning engineer (RF hardware automation)
Builds
Intelligent RF design tools, automated EM simulation pipelines, and ML inference engines for PA optimization
Domain
Wireless communications, RF hardware design, electromagnetic simulation
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, pandas, numpy, scipy, Git, ML pipeline architecture, data engineering
Preferred skills
RF PA design knowledge, Cadence Virtuoso, Ansys HFSS, Keysight ADS, SKILL, AEL, physics-informed ML
Technologies
PyTorch, TensorFlow, scikit-learn, pandas, numpy, scipy, Git, Cadence Virtuoso, Ansys HFSS, Keysight ADS, gdsfactory, KLayout, Qucs, openEMS
Responsibilities
Architect and maintain ML models for RF performance prediction; automate PA dataset creation from load-pull and EM simulations; integrate ML inference into RF EDA infrastructure; establish CI/CD pipelines and testing best practices; collaborate with RF architects to translate impedance and linearity requirements into software solutions
Seniority
Mid-level, hands-on IC
