Senior RF System Engineer

Role Summary:

We are looking for a wireless system engineer with extensive experience with Software Defined Radio.

You will build the software that turns raw I/Q from our SDR front-ends into reliable, real-time detection, classification and localisation of wireless emitters – from the low-level sample pipeline and DSP blocks through to the services and interfaces the rest of the product is built on.

Key Responsibilities:

• Build and maintain SDR applications on GNU Radio and/or custom frameworks, including out-of-tree blocks and streaming architectures for continuous wideband capture.
• Implement signal detection, classification and parameter estimation (energy and cyclostationary detection, burst segmentation, carrier and symbol-rate estimation, modulation recognition).
• Design and implement real-time I/Q processing pipelines in C++ and Python: channelisation, filtering, resampling, synchronisation, demodulation and detection.
• Implement direction-finding and localisation algorithms on coherent multi-channel SDRs.
• Drive SDR hardware from software: tuning, gain and sample-rate control, PPS/GPSDO timing, multi-channel phase coherence and calibration.
• Optimise for real-time performance: multi-threading, lock-free buffering, SIMD, GPU acceleration and profiling, to sustain wideband sample rates without drops.
• Build the surrounding software: capture and recording tools, replay and offline analysis, telemetry, configuration, and interfaces to the rest of the system.
• Work with the RF hardware and FPGA side on interfaces, data formats and system-level performance, and support lab measurement and field trials.
• Contribute to testing and validation: unit tests on synthetic signals, regression against recorded captures, and repeatable over-the-air test procedures.

Required Qualifications:

• Hands-on experience developing on SDR platforms and working with live I/Q data.
• Strong C++ (modern C++14/17 or newer) and Python, with a track record of production-quality, performance-sensitive code.
• Solid grounding in digital signal processing: sampling, filtering, FFT and spectral estimation, synchronisation, and digital modulation.
• Experience with GNU Radio or a comparable streaming DSP framework.
• Able to reason about a signal chain end to end – and to work from a spectrum analyser trace or a recorded capture back to a bug in the code.

Nice-to-Haves:

• Practical experience with unmanned aerial systems (UAS/drones) spanning commercial use, rapid prototyping, or personal builds.
• Experience with wideband spectrum monitoring, passive sensing or emitter localisation.
• Machine learning applied to RF (signal classification, RF fingerprinting), with PyTorch or similar.
• FPGA exposure (RFNoC, Vivado, HDL) or experience defining hardware/software interfaces.



Visa sponsorship available