chaosindustries

Staff RF Signal Processing Engineer

Apply Now

At a Glance

Location
Washington, District of Columbia, United States
Work Regime
onsite
Experience
5+ years
Compensation
global offices Salary Range: $180,000 - $230,000 The stated compensation range
Posted
2026-07-16T14:51:30-04:00

Key Requirements

Required Skills

AgileConfluenceJiraMATLABMachine LearningPython

Domain Knowledge

  • Engineering
  • Government

Benefits & Perks

Time Off

ting Fridays’, unlimited PTO, casual dress code Compensati

Requirements

Experience working with RF sensing systems (active or passive) and advanced signal processing techniques

Experience working with recorded I/Q data and generating synthetic I/Q data

Strong theoretical understanding and practical application of signal processing techniques (e.g., FFT analyses, matched filtering, cyclostationary analysis)

Proficiency in programming languages like Python, C++, or MATLAB for algorithm development and integration into current code base

Experience with software defined radios (SDR) and associated signal processing toolkits

Expertise in cyclostationary signal processing

Responsibilities

We are seeking a proactive and detail-oriented Senior RF Signal Processing Software Engineer to contribute to the successful development of our electromagnetic warfare product line.

This role is critical to transforming our radar systems into sensing systems that detect, classify, and geolocate all RF emissions in the environment using advanced digital signal processing (DSP) algorithms.

The Senior Engineer will contribute to the Spectrum Sensing Team in the development of algorithms, modeling, software integration, and the execution of field demonstrations of the technology.

They will collaborate closely with Business Development (BD), Production, and other Engineering teams.

As a key contributor to the Spectrum Sensing Team, the Senior Engineer will play an integral role in developing and redefining the passive radar system into a distributed spectrum sensing system, with a focus on software and algorithm development.

The day-to-day will be diverse, engaging, and intellectually stimulating, with a direct impact on pushing the boundaries of sensing technology and application.