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Falcomm

Fabless design and licensing ultra-efficient PAs

AI/CAD Software Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USAIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field.
  • At least 2 years of professional experience in software engineering or machine learning.
  • Proficiency in Python, including advanced scripting, object-oriented programming, and automation.
  • Experience building models with PyTorch, TensorFlow, or scikit-learn.
  • A strong grasp of data-processing libraries including pandas, NumPy, and SciPy, and file input/output operations.
  • Understanding of algorithms, data structures, and version control with Git.
  • Knowledge of RF front-end architectures or a strong understanding of RF metrics, including PAE, Gain, ACLR, and EVM.

Responsibilities

  • Architect and maintain code for training and serving machine-learning models that predict and optimize RF performance metrics.
  • Automate the creation and management of large-scale datasets derived from power-amplifier load-pull and electromagnetic simulations.
  • Integrate machine-learning inference engines into existing RF electronic-design-automation infrastructure to provide real-time feedback to power-amplifier designers.
  • Establish software engineering practices including comprehensive testing, continuous integration and continuous delivery pipelines, and code reviews within an agile hardware team.
  • Partner with RF and power-amplifier architects to translate impedance-matching and linearity requirements into deployable software solutions.

Desired Qualifications

  • Experience with power-amplifier design and understanding of RF power-amplifier metrics.
  • Hands-on experience with Cadence Virtuoso, Ansys HFSS, or Keysight ADS.
  • Experience using or contributing to open-source RF/electronic-design-automation alternatives such as gdsfactory, KLayout, Qucs, or openEMS.
  • Familiarity with automating RF simulations using SKILL, AEL, or Python APIs.
  • Interest or experience in applying machine learning to physics-based problems or electromagnetic modeling.

About the Company

Falcomm

Fabless design and licensing ultra-efficient PAs

Falcomm designs and licenses ultra-efficient solid-state power amplifiers for wireless communications, operating as a fabless semiconductor company. Its products are delivered as full turnkey solutions across CMOS, GaN, GaAs, and SiGe, with fabrication outsourced to foundries, and include IP such as LNAs, transmit-receive switches, beam-steering transceivers, and on-chip antennas. The company differentiates itself by combining energy efficiency with a complete licensing and delivery model for hardware manufacturers, including telecom operators, satellite firms, and consumer electronics makers. Falcomm’s goal is to help customers lower power consumption and extend device battery life, targeting growth in a $16 billion market growing around 12% annually.

Company size
1-10
Company stage
Seed
Total funding
$4.1M
Headquarters
Atlanta, GA
Founded
2021

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