Embedded Engineer

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 :)

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