We are seeking a full-time AI/CAD Software Engineer to join our team and lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs.
Requirements
- End-to-End ML Pipeline Development: Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics.
- PA Design Automation: Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations.
- Tool Integration: Seamlessly integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers.
- Software Engineering Excellence: Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within an agile hardware team.
- Cross-Functional Collaboration: Partner closely with RF/PA architects to translate complex impedance matching and linearity requirements into deployable software solutions.
- 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: Advanced scripting, object-oriented programming, and automation skills.
- ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn.
- Data Engineering: Strong grasp of data processing libraries (pandas, numpy, scipy) and file I/O operations.
- Software Fundamentals: Solid understanding of algorithms, data structures, and version control (Git).
- RF Domain Knowledge: RF front-end architectures, or a strong understanding of RF metrics (PAE, Gain, ACLR, EVM).
Benefits
- Competitive Salary and Equity Package
- Comprehensive Health, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Paid Time Off (PTO) and Sick Leave