Senior DSP / Radar Signal Processing Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior DSP / Radar Signal Processing Engineer to own the signal and algorithm side of a radar/SDR/AI-DSP prototype platform. Build and validate a radar signal pipeline from I/Q data, define data contracts for AI core, and collaborate with backend/SDR teams on buffers, timing, and latency. Apply strong DSP, radar processing, and SDR skills to influence system performance and product capabilities.

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Define and implement a radar signal pipeline on real or synthetic I/Q data, and define data contracts for the AI core (frames, dtypes, timestamps, metadata)
•Collaborate with backend engineers to align buffers, timing, and latency, including I/Q contracts over shared memory
•Select, configure and run SDR platforms (USRP / UHD) and validate GNU Radio flows; analyze I/Q data for clipping, saturation, aliasing, clock drift and sample loss
•Perform DSP operations including FFT, spectral analysis, FIR/IIR filtering, decimation/interpolation, DDC/DUC, STFT and time-frequency analysis, and SNR estimation
•Conduct radar processing steps: matched filtering, pulse compression, Doppler processing, coherent integration, range-Doppler mapping, and micro-Doppler for small-target detection

Key Requirements

•Hands-on with SDR and I/Q streams; fluent with USRP/UHD (device config, sample rate, gain, clock, channels, RX/TX streaming)
•GNU Radio — build, test, debug signal flows
•Strong DSP fundamentals: FFT, spectral analysis, FIR/IIR, decimation/interpolation, DDC/DUC
•Radar processing: matched filtering, pulse compression, Doppler, coherent integration, phase coherence, range-Doppler
•Python scientific stack (NumPy, SciPy, matplotlib / Plotly); able to design experiments and write clear technical reports

Experience:DefenceRadarEmbedded systemsDeep-tech

Skills:USRPUHDGNU RadioFFTFIRIIRSTFTPythonNumPySciPyPlotlyMatplotlibSDRDSPSignal processingRadar

Tech Stack:USRPUHDGNU RadioFFTFIRIIRSTFTPythonNumPySciPyPlotlyMatplotlib

Company Brief

RNRS Solutions

Provides technology and business consulting services, delivering tailored IT solutions, process improvements, and advisory support to help organisations optimise operations and implement digital initiatives.

Industry: Consulting

Website

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RNRS Solutions

4 weeks ago

Senior DSP / Radar Signal Processing Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Define and implement a radar signal pipeline on real or synthetic I/Q data, and define data contracts for the AI core (frames, dtypes, timestamps, metadata)
•Collaborate with backend engineers to align buffers, timing, and latency, including I/Q contracts over shared memory
•Select, configure and run SDR platforms (USRP / UHD) and validate GNU Radio flows; analyze I/Q data for clipping, saturation, aliasing, clock drift and sample loss
•Perform DSP operations including FFT, spectral analysis, FIR/IIR filtering, decimation/interpolation, DDC/DUC, STFT and time-frequency analysis, and SNR estimation
•Conduct radar processing steps: matched filtering, pulse compression, Doppler processing, coherent integration, range-Doppler mapping, and micro-Doppler for small-target detection

Key Requirements

•Hands-on with SDR and I/Q streams; fluent with USRP/UHD (device config, sample rate, gain, clock, channels, RX/TX streaming)
•GNU Radio — build, test, debug signal flows
•Strong DSP fundamentals: FFT, spectral analysis, FIR/IIR, decimation/interpolation, DDC/DUC
•Radar processing: matched filtering, pulse compression, Doppler, coherent integration, phase coherence, range-Doppler
•Python scientific stack (NumPy, SciPy, matplotlib / Plotly); able to design experiments and write clear technical reports

Experience:DefenceRadarEmbedded systemsDeep-tech

Skills:USRPUHDGNU RadioFFTFIRIIRSTFTPythonNumPySciPyPlotlyMatplotlibSDRDSPSignal processingRadar

Tech Stack:USRPUHDGNU RadioFFTFIRIIRSTFTPythonNumPySciPyPlotlyMatplotlib

Company Brief

RNRS Solutions

Industry: Consulting

Website