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About the Client:
Our client is a fast-growing product company building IoT and radio-frequency devices, working at the intersection of hardware, signal processing and data.
About the Role:
We are looking for a Lead RF / Signal Processing Algorithm Engineer. You will lead algorithm development for direction finding, geolocation and GNSS resilience. The role sits where physics, mathematics and ML meet. What matters most is a solid physical understanding of how radio systems behave: why an antenna mounted in the wrong plane ruins a measurement, or why a given localisation method works at all. Deep domain understanding matters more here than perfectly clean code; the team has strong software engineers to support you.
Responsibilities:
– Lead the design and development of direction-finding and emitter geolocation algorithms
– Develop and tune beamforming, CRPA and anti-jamming / anti-spoofing processing
– Work with SDR hardware, including multi-channel synchronisation and calibration
– Analyse measurement data and trace poor results back to physical or hardware causes
– Optimise algorithms for efficient computation across large numbers of devices
– Collaborate with data science and software engineers to bring algorithms into production
– Take part in demos for partners and customers
Requirements:
– Strong background in radio engineering, telecommunications or applied physics
– Practical understanding of antennas, signal propagation and RF measurements
– Direction-finding algorithms: MUSIC, ESPRIT, Root-MUSIC, correlative interferometry, Watson-Watt
– Geolocation methods: AOA, LOB, TDOA, FDOA
– Antenna arrays: UCA, ULA
– Experience with SDR platforms (PlutoSDR, HackRF, AD9361/AD9371) and related libraries (libiio, pyadi-iio)
– GNU Radio and/or MATLAB (Phased Array System Toolbox)
– Solid algorithmic thinking and the ability to optimise computation
– English sufficient for demos and communication with partners and customers
Nice to have:
– CRPA processing: multi-channel phase/gain calibration, mutual coupling compensation, null-steering
– Hardware synchronisation and timing
– GNSS SDR software: GNSS-SDR, GPS-SDR-SIM, PyGPSClient
– GNSS tracking loops (DLL, PLL), GPS L1/L2/L5 C/A code tracking
– ML applied to signal data
– Defense tech experience
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