We integrate automation, AI, and robotics to build security and defense solutions. Our focus is intelligent systems combining embedded software, computer vision, and edge-AI for autonomous platforms.
We're looking for an engineer driven by the radio spectrum — from spectral analysis to real-time drone signal detection. You'll work with SDR platforms and radar sensors, write DSP pipelines, and collect data.
What you'll be doing:
Working with SDR platforms (HackRF, USRP, LimeSDR, RTL-SDR) — capturing, analyzing, and processing radio signals;
Developing DSP pipelines for real-time UAV signal detection, classification, and direction finding;
Analyzing the spectrum and building signal features for further ML model training;
Collecting, labeling, and validating radio datasets — laying the foundation for models;
Working at the intersection of radio and radar — integrating data from radar sensors into a shared detection pipeline;
Writing in Python and C++ for real-time signal processing;
Researching and prototyping new approaches to drone detection — this is R&D, not maintenance of something ready-made;
Working alongside ML engineers to ensure detection models perform reliably on real-world data.
Technical skills
Required:
Understanding of radio engineering fundamentals — modulation (AM/FM/PSK/OFDM), frequency bands, antennas, signal propagation;
DSP — confident command of digital signal processing: FFT, filtering, spectral analysis, correlation;
SDR experience — hands-on practice with HackRF / USRP / LimeSDR / RTL-SDR (not just theory);
Python — confident coding for signal processing and data handling (NumPy, SciPy);
C++ — for real-time signal processing and high-performance pipelines;
Linux — comfortable in the terminal, system utilities, SSH;
Middle / Senior level — ability to independently drive a task from idea to working prototype without step-by-step guidance.
Nice to have:
Radar — understanding of operating principles (FMCW, Doppler), experience with radar sensors;
GNU Radio — building flow graphs, writing OOT modules;
Experience with RF front-end, antenna systems, direction finding (DoA);
TensorRT / ONNX Runtime — deploying models on edge;
Jetson or other edge platforms;
Docker / CI/CD;
English at the level of reading technical documentation and communication.
What we offer:
Impact: work on real autonomous systems, not educational projects.
Autonomy: technical freedom — choose your tools, propose solutions. Minimum bureaucracy.
Unique domain: rare expertise that immediately sets your resume apart in aerospace/defence.
Growth: mentorship from experienced engineers.
Remote work: remote, flexible schedule, core sync hours for communication.
Team: work alongside engineers solving problems at the intersection of edge-AI, computer vision, and real-time robotics.
Mission: direct contribution to Ukraine's defense capability and European security.
If this sounds like you — don't wait, reach out today. We look forward to meeting you :)
