RF SDR Engineer — Signal Processing & RF Analysis

CACI

Maryland

On-site

USD 83,000 - 174,000

Full time

14 days+
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Job summary

CACI is seeking an Electrical Engineer in the United States (Maryland) to analyze and characterize RF technologies using software defined radio platforms and develop custom applications to capture and process RF signals.

You will work hands-on with RF systems in a mission-driven environment, collaborating across disciplines, and applying innovative approaches to complex challenges while pursuing ongoing learning and growth.

Qualifications

  • BS in Electrical Engineering, Computer Engineering, or related field required.
  • 3–5 years of directly related experience.
  • Demonstrated expertise with Software Defined Radio platforms such as HackRF, Ettus USRP, or similar devices.
  • Strong programming skills in Python, C/C++, or similar languages for SDR application development.
  • Experience with GNU Radio or similar frameworks for signal processing and analysis.
  • Understanding of RF fundamentals, modulation techniques, and wireless protocols.

Responsibilities

  • Implement sophisticated signal processing techniques using software defined radio platforms.
  • Design and develop specialized applications for signal capture, analysis, and characterization.
  • Apply RF engineering principles to extract meaningful intelligence from complex radio signals.

Skills

Active Top-Secret Clearance
RF engineering fundamentals
Modulation techniques
DSP concepts
Ability to develop custom tools

Education

BS in Electrical Engineering, Computer Engineering, or related field

Tools

HackRF
Ettus USRP
GNU Radio
Python
C/C++
Spectrum analyzers
RF test equipment
FPGA programming (optional)

Job description

CACI is seeking an Electrical Engineer in the United States (Maryland) to analyze and characterize RF technologies using software defined radio platforms and develop custom applications to capture and process RF signals.

You will work hands-on with RF systems in a mission-driven environment, collaborating across disciplines, and applying innovative approaches to complex challenges while pursuing ongoing learning and growth.

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