Software Engineer, Real-Time SDR Signal Processing and Emitter Detection/Localization

anashield • Copenhagen Metropolitan Area

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AI Summary

Build real-time software-defined radio (SDR) signal processing pipelines converting raw I/Q into reliable detection, classification, and localization of wireless emitters. Develop and optimize SDR applications using C++/Python and GNU Radio/custom streaming frameworks, including direction-finding and parameter estimation algorithms. Drive SDR hardware integration and deliver surrounding tooling, testing, and validation with strong DSP fundamentals and performance-focused Linux development.

Key Highlights

Real-time C++/Python I/Q processing from SDR front-end samples to detection, classification, and localization services

Direction-finding/localisation algorithms on coherent multi-channel SDRs plus hardware control and timing (PPS/GPSDO)

Performance optimization for wideband capture using multi-threading, lock-free buffering, SIMD/GPU acceleration, and profiling

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Key Responsibilities

Design and implement real-time I/Q processing pipelines in C++ and Python, including channelisation, filtering, resampling, synchronisation, demodulation, and detection.

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 using techniques such as energy and cyclostationary detection, burst segmentation, carrier and symbol-rate estimation, and modulation recognition.

Develop direction-finding and localisation algorithms such as phase interferometry, MUSIC/ESPRIT, and TDoA on coherent multi-channel SDRs.

Drive SDR hardware from software, including tuning, gain and sample-rate control, PPS/GPSDO timing, and multi-channel phase coherence and calibration across supported platforms.

Optimize for real-time performance using multi-threading, lock-free buffering, SIMD, GPU acceleration, and profiling to sustain wideband sample rates without drops.

Build surrounding software for capture/recording, replay and offline analysis, telemetry, configuration, and system interfaces.

Collaborate with RF hardware and FPGA teams on interfaces, data formats, and system-level performance, and support lab measurements and field trials.

Contribute to testing and validation with unit tests on synthetic signals, regression against recorded captures, and repeatable over-the-air test procedures.

Technical Skills Required

C++ Python Digital Signal Processing (DSP)

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Nice to Have

Wireless protocol knowledge (Wi-Fi, Bluetooth/BLE, LoRa, DSSS/FHSS control links, OFDM, LTE/5G NR).

Experience with wideband spectrum monitoring, passive sensing, or emitter localisation.

Machine learning applied to RF using PyTorch or similar.

GPU or accelerated DSP (CUDA, VkFFT) and embedded targets (Jetson, Zynq/ZynqMP, ARM SoCs).

FPGA exposure (RFNoC, Vivado, HDL) or experience defining hardware/software interfaces.

Containerisation, CI/CD, and deployment to embedded or field-deployed systems.

Job Description

Location: Hybrid, Copenhagen

Full-time · Visa sponsorship available

Role Summary

We are looking for a software engineer who lives in the signal-processing layer of 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

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