AI/CAD Software Engineer

About the role

At Falcomm, we are revolutionizing wireless communications by integrating AI-driven solutions into the design of our energy-efficient Power Amplifier (PA) products. We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware.

Responsibilities

• 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.

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: 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).

Preferred Skills (The "RF/PA Plus")

• RF PA Domain Knowledge: Experience with Power Amplifier design and an understanding of RF PA metrics.
• RF/EM Simulation Tools: Hands-on experience with Cadence Virtuoso, Ansys HFSS, or Keysight ADS.
• Open Source Innovation: Experience utilizing or contributing to open-source RF/EDA alternatives (e.g., gdsfactory, KLayout, Qucs, openEMS).
• Simulation Scripting: Familiarity with automating RF simulations via SKILL, AEL, or Python APIs.
• Physics-Informed ML: Interest or experience in applying ML to physics-based problems 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