What you will do

- Design and build the RF sensing subsystem for our distributed detection nodes, from antenna selection through SDR integration to real-time signal processing software
- Develop detection and classification for drone control and video links, including common commercial protocols, Wi-Fi based links, and custom or nonstandard emitters
- Build robust performance in dense RF environments: urban clutter, industrial sites, and event settings where thousands of benign emitters compete with the signal you care about
- Optimize for edge deployment: real-time processing on embedded compute, low power budgets, and operation without cloud connectivity
- Work with our vendor partners on SDR hardware selection and integration
- Take your subsystem into the field: bench testing, outdoor range testing, cold-weather characterization, and installation on customer sites
- Collaborate closely with the founding team on sensor fusion, helping define how RF tracks combine with acoustic and visual detections
- Help shape the engineering culture, tooling, and hiring of a team that will grow around you

What we are looking for

- 5+ years of hands-on RF or wireless systems engineering, or equivalent depth from research, defense, or reliable personal work
- Strong software-defined radio experience: GNU Radio,



custom DSP pipelines, or equivalent frameworks on platforms such as USRP, Per Vices, or similar
- Solid digital signal processing fundamentals: detection theory, filtering, spectral analysis, and working in low SNR conditions
- Proficiency in C++ and Python for real-time signal processing
- Experience with at least one of: drone RF protocols, wireless protocol reverse engineering, spectrum monitoring, electronic warfare, or radar
- Comfort with hardware: you can work with antennas, front ends, and test equipment, and you are willing to stand in a field in February to prove your system works
- Eligibility to work in Canada and ability to obtain Canadian security clearance and Controlled Goods Program registration

Nice to have

- Experience with embedded Linux and edge compute platforms (NVIDIA Jetson or similar)
- Direction finding, TDOA, or multi-sensor geolocation experience
- Background in counter-UAS, EW, SIGINT, or spectrum sensing
- Familiarity with FPV drone ecosystems and their radio links (ExpressLRS, analog video, digital video links)
- Machine learning applied to RF signal classification
- Prior experience at an early-stage startup or on a small team shipping hardware

📌 RF Engineer (Toronto)
🏢 Dawn Recruiting Agency
📍 Toronto