ARQUIMEA, we are a technology company operating globally and providing innovate solutions and products in highly demanding sectors.Our areas of activity are Aerospace, Defense & Security, Big Science, Biotechnology and Fintech.We are looking for a Digital Signal Processing (DSP) Engineer with solid experience in the design, modelling and validation of signal-processing algorithms for Software Defined Radio (SDR) and real-time embedded systems.Design modulation and demodulation chains, digital filters, sample-rate conversion, channelization and spectral-processing functions.Create and validate signal-processing models using MATLAB/Simulink, Python and C/C++, evaluating solutions through quantitative performance metrics.Collaborate with FPGA/digital hardware and embedded software teams to integrate algorithms into real-time FPGA, SoC and processor-based platforms.Deploy prototypes and characterize end-to-end performance under representative conditions using RF and electronic laboratory equipment.Work within multidisciplinary engineering teams and contribute to technical reviews,



validation activities and project planning.University degree in Telecommunications Engineering, Electrical/Electronic Engineering, Physics, Mathematics or a related discipline.Strong foundation in digital signal processing and digital communications, supported by practical algorithm-development experience.Advanced proficiency in MATLAB and Simulink for modelling, simulation, analysis and verification of signal-processing systems.Proficiency in Python and C/C++ for modelling, test automation and reference implementations.Understanding of FPGA and SoC architectures and hardware/software partitioning for real-time signal processing.Proficient English, both written and spoken.MIMO systems, digital beamforming or direction-of-arrival estimation.Hands-on experience with RF laboratory instrumentation, such as signal generators, spectrum analyzers, vector signal analyzers and oscilloscopes.

📌 Commercial Process Engineer (Madrid)
🏢 Arquimea
📍 Madrid