AI/CAD Software Engineer

Responsibilities

• Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics
• Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations
• Integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers
• Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews
• Partner with RF/PA architects to translate complex impedance matching and linearity requirements into software solutions

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
• 2+ years of professional experience in software engineering or machine learning
• Proficiency in Python including advanced scripting and object-oriented programming
• Experience building models using PyTorch, TensorFlow, or scikit-learn
• Strong grasp of data processing libraries like pandas, numpy, and scipy
• Solid understanding of algorithms, data structures, and Git
• Understanding of RF front-end architectures or RF metrics (PAE, Gain, ACLR, EVM)

Preferred Qualifications

• Experience with Power Amplifier design
• Hands-on experience with Cadence Virtuoso, Ansys HFSS, or Keysight ADS
• Experience with open-source RF/EDA tools like gdsfactory, KLayout, Qucs, or openEMS
• Familiarity with automating RF simulations via SKILL, AEL, or Python APIs
• Interest in physics-informed ML or electromagnetic modeling

Benefits

• Competitive Salary and Equity Package
• Comprehensive Health, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Paid Time Off (PTO) and Sick Leave