Radio Frequency Engineer

EVONA

Washington (District of Columbia)

On-site

USD 133,000 - 169,000

Full time

14 days+

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Job summary

A defense technology company is seeking a highly skilled Signals Engineer to support the development of advanced RF signal processing technologies for space-based sensing systems. The role involves analyzing and enhancing signal collection capabilities, collaborating with engineering teams, and providing technical support from concept to operational deployment. Candidates need an advanced degree, experience in signals analysis, and proficiency in Python. The position offers a full-time role in Washington, DC, with a salary range of $133,000 to $169,000 USD.

Qualifications

  • 3+ years of experience in a similar engineering or signals analysis role.
  • 2+ years of hands-on experience using Python for signal processing and data analysis.
  • Strong foundation in signal processing fundamentals and RF data analysis.

Responsibilities

  • Analyze and optimize RF signal data collection while collaborating with teams.
  • Drive engineering efforts related to electronic signals collection missions.
  • Perform signal analysis using Python, MATLAB, or similar tools.

Skills

RF data analysis
Signal processing fundamentals
Python programming
Data analysis

Education

Advanced degree in Electrical Engineering, Physics, or related field

Tools

Python
MATLAB

Job description

Location: Irvine, CA or Washington, DC Area

Employment Type: Full-Time

Salary Range: $133,000 – $169,000 USD

Clearance: Ability to Obtain (TS/SCI)

About the Role

We are seeking a highly skilled Signals Engineer to support the development of advanced RF signal processing and payload technologies for space-based sensing systems. In this role, you will work cross-functionally with engineering teams to analyze, validate, and enhance signal collection capabilities across a variety of mission applications.

You will provide technical insight, analysis, and engineering support to drive new capabilities from concept through operational deployment, directly contributing to mission success and next-generation system development.

Key Responsibilities
  • Analyze and optimize RF signal data collection while collaborating with cross-functional teams to meet project specifications
  • Drive engineering efforts related to electronic signals collection missions
  • Analyze RF data across a wide range of frequency bands, from VHF through Ka-band
  • Explore and implement advanced signal processing techniques, including TDOA/FDOA geolocation, modulation and pulse recognition, de-interleaving, direction finding/beamforming, and emitter fingerprinting
  • Work closely with SAR and payload engineering teams to test and validate data collection performance
  • Perform signal analysis using Python, MATLAB, or similar tools
  • Generate documentation and effectively communicate technical information to audiences of varying technical backgrounds
  • Contribute technical content to RFIs, RFPs, and other business capture activities
  • Support general software engineering and data analysis projects as needed
Required Qualifications
  • Advanced degree in Electrical Engineering, Physics, or a related field
  • 3+ years of experience in a similar engineering or signals analysis role
  • 2+ years of hands-on experience using Python for signal processing and data analysis
  • Strong foundation in signal processing fundamentals and RF data analysis, including manipulation of complex-valued data
  • Experience working with large RF/IQ datasets, including data curation, labeling, and analysis
  • Familiarity with RF data formats such as SigMF, CRSD, or similar
  • Ability to obtain a TS/SCI security clearance
Preferred Qualifications
  • Expertise in RF signal analysis, including geolocation and signal characterization techniques
  • Experience with scientific computing libraries such as NumPy, SciPy, or PyTorch
  • Familiarity with GPU acceleration (CUDA), vectorized computing, or FPGA-based processing concepts
  • Experience with compiled programming languages such as C, C++, or Go
  • Familiarity with SAR data collection and imaging modes
  • Experience with anechoic chamber testing and phased array antenna systems
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