Passive RF/Signal Processing Engineer

Stack

Responsibilities

• ▹Design and develop software pipelines for processing RF/IQ data collected from SDR-based satellite monitoring systems
• ▹Build robust tools for SDR data ingestion, validation, metadata verification, and format conversion
• ▹Implement digital signal processing algorithms, including filtering, resampling, DC offset removal, and Doppler compensation
• ▹Develop solutions for spectral analysis, channelization, and signal characterization
• ▹Implement precise time synchronization mechanisms using GPSDO and distributed sensor networks
• ▹Support satellite listening workflows by integrating orbital data, pass prediction, Doppler correction, and capture correlation
• ▹Analyze system performance by measuring clock drift, timing accuracy, frequency offsets, and hardware-related impairments
• ▹Develop signal detection and localization algorithms using techniques such as FDOA and TDOA
• ▹Research, prototype and evaluate new DSP and RF processing methods before transforming them into maintainable production software
• ▹Collaborate closely with software engineers, RF specialists, hardware teams, and system analysts

Requirements

• ▹Professional experience developing software for RF, SDR, telecommunications, GNSS, satellite communications, telemetry, or spectrum monitoring systems
• ▹Strong understanding of digital signal processing fundamentals, including sampling theory, aliasing, FFT/STFT, filtering, resampling, synchronization, modulation/demodulation, SNR estimation and spectral analysis
• ▹Hands-on experience working with RF/IQ data, including signal formats, metadata handling, and processing pipelines
• ▹Strong Python programming skills with NumPy and SciPy, and the ability to develop reproducible scripts, notebooks, CLIs or data processing services
• ▹Experience using Git, automated testing, debugging, profiling and modern software engineering best practices
• ▹Ability to study technical specifications and scientific literature, prototype and benchmark algorithms, and translate them into robust, maintainable software
• ▹Ability to communicate technical results through spectrograms and residual error plots

Soft skills

About the company

Sybilla Technologies designs, builds and operates robotic optical observatories for monitoring objects in space. The company specializes in complete systems, developing automated data acquisition, analysis, and scheduling software for sensor networks, working in domains such as Space Situational Awareness, Space Surveillance and Tracking, Space Traffic Management, stellar and planetary research, education, and commercial observations.