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We are looking for an experienced Radar Signal Processing Engineer to play a key technical role in the development of our nano synthetic aperture radar (nSAR) for small unmanned aircraft. You'll develop the algorithms that turn raw radar data into usable imagery and help bring a new airborne radar system from development to flight. If you enjoy taking a hard signal processing problem from theory to something that works on noisy, real-world data, this is a rare opportunity to make a real impact. What you'll do You'll be responsible for the signal processing chain from raw IQ samples through to focused, calibrated imagery, working closely with the wider radar team throughout the development process. The role spans the full development cycle, from algorithm design and simulation through validation on flight-test data. You'll work closely with our RF Hardware Engineer, an experienced external RF consultant, and colleagues across electronics, embedded software, mechanical engineering, and aerospace. You'll also collaborate with external experts when needed. Building on the first prototype, you'll work with the team to evolve the processing chain into a flight-proven capability. You'll work with real flight data early and see your algorithms fly on real aircraft within months, not years. As our radar capabilities grow, you'll help shape our technical direction and engineering approach. Developing SAR image formation algorithms (range-Doppler, backprojection, chirp scaling or similar) Motion compensation and autofocus for a small, agile airborne platform Range and azimuth compression, pulse compression, and Doppler processing Detection and estimation where relevant (CFAR, and moving-target or change-detection methods over time) Radiometric and geometric calibration of the processing chain Working closely with the RF hardware team to define the performance the algorithms need, and to make sense of what the hardware actually delivers Prototyping in Python, then working with the embedded and software teams to bring the chain toward real-time onboard processing Field testing on aircraft and iterating the processing based on real data Our technical environment Radar architectures for synthetic aperture imaging Compact airborne payloads with weight- and power-constraints Wideband C-band radar Algorithm development and prototyping in Python Real-time and onboard processing on FPGA and embedded targets (STM32 microcontrollers and FPGA digital backends) Rapid in-house prototyping with electronics and mechanical workshops We believe the right person is someone who Has strong radar signal processing fundamentals and the intuition to tell a real signal from an artefact Is both analytical and practical, as comfortable developing an algorithm as debugging why it falls apart on real data Can take technical responsibility of the processing chain end to end and drive it to a tested, working result Is open-minded and values discussions and feedback Enjoys collaborating across technical disciplines, especially with the hardware people whose data they depend on Experience and qualifications Required experience 5+ years of hands-on radar or digital signal processing experience (a strong PhD in the area can count toward this) MSc or PhD in Signal Processing, Electronics, Physics, or a related field Solid grasp of radar signal processing fundamentals: matched filtering, pulse compression, Doppler processing, and detection Proficiency in Python, the language our radar processing is built in (MATLAB is common in this field and welcome, but the day-to-day work is in Python) The ability to own an algorithm from theory to a tested, working result on real data Additional experience we’d value Direct SAR experience: image formation, motion compensation, autofocus Experience with wideband mic