AI/CAD Software Engineer

United States·AtlantaFull-timemid

Software EngineerSoftware Engineering

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Quick Summary

Key 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.

Requirements Summary

Advanced scripting, object-oriented programming, and automation skills. ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn.

Technical Tools

Software EngineerSoftware Engineering

Are you passionate about applying machine learning to transform the future of RF hardware? 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

~1 min read

→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

~1 min read

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).

Nice to Have

~1 min read

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.

What We Offer

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✓Competitive Salary and Equity Package

✓Comprehensive Health, Dental, and Vision Insurance

✓401(k) Retirement Plan

✓Paid Time Off (PTO) and Sick Leave

✓Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

✓Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.

✓To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.