Contract RF / SDR Engineer
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Key skills for this role
About the Role
CNTXT AI is seeking a Contract RF/SDR Engineer to set up RF test benches, develop GNU Radio Python scripts, implement signal processing algorithms, and build ML classifiers. The role requires hands-on experience with SDR hardware, GNU Radio, RF signal processing, and Python.
Key Skills for This Role
Responsibilities
- Set up and configure an RF test bench including SDR hardware, directional antennas, LNA, and coaxial cabling.
- Develop GNU Radio Python scripts for signal generation, capture, and processing.
- Implement signal processing algorithms including coherent stacking, time gating, correlation based detection, and feature extraction.
- Build and train ML classifiers (Random Forest, XGBoost) on RF signal features for pattern recognition.
- Develop a web based results dashboard using Streamlit for visualizing signal data and detection outputs.
- Configure and manage a SQLite database for storing calibration signatures and test results.
- Run structured experiments, document results, and produce a clear technical handover report.
- Follow RF safety protocols during all testing, including high power transmission safety procedures.
Requirements
- Hands on experience building GNU Radio flowgraphs and Python based signal processing scripts
- Practical experience with LimeSDR, HackRF, USRP, or equivalent platforms
- Experience with coherent stacking, time gating, bistatic radar geometry, correlation detection, and SNR optimization
- Knowledge of directional antennas (Yagi), coaxial cables (LMR 400), impedance matching, and connector types
- Comfortable assembling and troubleshooting RF hardware setups
- Familiarity with RF exposure safety standards and high power transmission protocols
- Strong experience with NumPy, SciPy, and signal processing libraries
- Experience with SQLite or similar lightweight databases
- Ability to build simple interactive dashboards using Streamlit or Dash
- Experience with version control (Git)
Full Job Posting
Responsibilities
- Set up and configure an RF test bench including SDR hardware, directional antennas, LNA, and coaxial cabling.
- Develop GNU Radio Python scripts for signal generation, capture, and processing.
- Implement signal processing algorithms including coherent stacking, time gating, correlation based detection, and feature extraction.
- Build and train ML classifiers (Random Forest, XGBoost) on RF signal features for pattern recognition.
- Develop a web based results dashboard using Streamlit for visualizing signal data and detection outputs.
- Configure and manage a SQLite database for storing calibration signatures and test results.
- Run structured experiments, document results, and produce a clear technical handover report.
- Follow RF safety protocols during all testing, including high power transmission safety procedures.
Required Skills
- Core RF & Hardware: GNU Radio, SDR Hardware, RF Signal Processing, Antenna Systems, RF Bench Skills, RF Safety.
- Software & Data: Python (NumPy, SciPy), Data Management (SQLite), Streamlit/Dash, Git.
Good to Have
- Radar Systems: pulsed radar, radar cross section (RCS), material electromagnetic characterization.
- RF Power Amplifiers: high power RF integration, amplifier chain design, drive power requirement.
- EM Material Properties: dielectric permittivity, conductivity, material specific RF response.
- Defense / Security R&D: previous experience in defense, security, or government research environments.
- Oscilloscope Proficiency: ability to measure induced voltage and electrical effects in electronic circuits.
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