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: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.RequirementsBachelor’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.BenefitsCompetitive Salary and Equity PackageComprehensive Health, Dental, and Vision Insurance401(k) Retirement PlanPaid Time Off (PTO) and Sick LeaveDISCLOSUREFalcomm 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.
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:
- 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
DISCLOSURE
- 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.
Falcomm is a fabless semiconductor company building high-efficiency RF power amplifier chips and RF front-end solutions for satellite, aerospace, defense, and wireless communications. Falcomm combines proprietary PA architectures with AI-driven design automation to deliver better performance and faster product development.
Falcomm is a fabless semiconductor company building high-efficiency RF power amplifier chips and RF front-end solutions for satellite, aerospace, defense, and wireless communications. Falcomm combines proprietary PA architectures with AI-driven design automation to deliver better performance and faster product development.
