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Distributed Spectrum

Defense RF signal classification and localization

RF Systems Engineer

RF & Microwave EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$120k - $250k /yr

About the Job

Requirements

  • Demonstrated experience owning technical projects or system components end-to-end.
  • Experience with RF simulation tools such as HFSS, CST, MATLAB, and GNU Radio.
  • Hands-on experience with general electronics laboratory test equipment such as spectrum analyzers, signal generators, vector network analyzers, and oscilloscopes.
  • Relevant experience designing and assembling RF signal chains for laboratory testing, including filters, mixers, splitters, couplers, and amplifiers.
  • Familiarity with software-defined radio platforms and real-world RF hardware applications.
  • A bachelor's degree or higher in Electrical Engineering or Physics, or equivalent experience.
  • Strong communication skills to translate complex RF concepts to non-specialists.
  • Experience with electronic warfare systems.
  • Familiarity with Python and/or Linux shell scripting.
  • Prior experience in a defense or government context.
  • Willingness to travel outside the lab for field experimentation and exercise support.

Responsibilities

  • Drive technical direction and execution of RF efforts, independently identifying priorities, risks, and trade-offs in ambiguous environments.
  • Own end-to-end RF system performance across prototype platforms, from early concept through testing, validation, and iteration.
  • Lead development of electromagnetic interference/electromagnetic compatibility mitigation and RF hardening strategies to ensure robust performance in complex electromagnetic environments.
  • Design and optimize RF systems under real-world constraints, including hardware limitations, interference, and congested spectrum conditions.
  • Design and execute experiments to characterize performance, validate models, and uncover failure modes.
  • Build and maintain RF simulation frameworks, including antenna models, propagation models, and channel simulations, to evaluate system design decisions.
  • Translate experimental and simulation results into clear, actionable insights that influence system architecture and operational decisions.
  • Collaborate across machine learning, hardware, and mission teams to align system design with algorithm development and operational needs.
  • Generate high-quality RF datasets and provide domain expertise for modeling, machine learning validation, and system integration.
  • Shape operational concepts with cross-functional stakeholders to ensure advertised performance is achievable in real-world deployments.

Desired Qualifications

  • Experience with electronic warfare systems.
  • Familiarity with Python and/or Linux shell scripting.
  • Prior experience in a defense or government context.
  • Willingness to travel outside the lab for field experimentation and exercise support.

About the Company

Distributed Spectrum

Defense RF signal classification and localization

Distributed Spectrum develops RF signal classification and localization technologies for defense use. Its low SWaP sensors are designed to be deployed on unmanned or manned vehicles, carried by personnel, or left in the field, and they provide real-time situational awareness with actionable alerts. The sensors collect RF signals and process them to classify signals and locate sources, enabling rapid, informed decisions in operational environments. The company differentiates itself through a defense-focused product line, compact hardware, and on-device processing powered by expertise in circuit design, signal processing, radio communications, and machine learning. The ultimate goal is to enhance defense forces’ operational capabilities by delivering reliable sensor systems and related services that improve awareness and responsiveness in real time.

Company size
11-50
Company stage
Series A
Total funding
$26.5M
Headquarters
New York City, New York
Founded
2020

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