RF Digital Signal Processing Expert

Job Summary

We are looking for an RF Digital Signal Processing Expert to lead the design, development, and optimization of signal processing algorithms for RF systems - spanning waveform design, modulation/demodulation, and real-time processing on embedded and hardware-accelerated platforms (FPGA/GPU/SoC). You will work closely with RF hardware, embedded systems, and algorithm teams to take DSP algorithms from concept to deployed, real-time systems.

Key Responsibilities

• Design, develop, and optimize DSP algorithms for RF applications: modulation/demodulation, filtering, channelization, synchronization, equalization, beamforming, and error correction.
• Develop signal processing chains for applications such as SDR (software-defined radio), radar, communications, spectrum sensing, or electronic warfare (tailor to your domain).
• Model and simulate RF/DSP algorithms using MATLAB/Simulink, Python, or GNU Radio prior to hardware implementation.
• Translate algorithms into real-time implementations on FPGA (HDL/HLS) and/or DSP processors/SoCs, working closely with hardware engineering teams.
• Perform link budget analysis, noise/interference modeling, and performance trade-off studies (BER, SNR, throughput, latency).
• Optimize fixed-point/floating-point implementations for embedded hardware constraints (resource usage, power, throughput).
• Support integration and testing of DSP algorithms with RF front-ends, ADC/DAC chains, and antenna systems.
• Debug and characterize system performance using spectrum analyzers, vector signal analyzers, oscilloscopes, and signal generators.
• Collaborate with systems engineers to define RF/DSP requirements and specifications for new products.
• Document algorithm design, test results, and performance benchmarks; support IP/patent generation where applicable.

Required Skills Qualifications

• Bachelor's/Master's/PhD in Electrical Engineering, Signal Processing, Telecommunications, or a related field.
• 5+ years of hands-on experience in RF/DSP algorithm design and implementation.
• Strong theoretical foundation in digital signal processing: FFT/DFT, digital filter design, sampling theory, modulation schemes (QAM, PSK, FSK, OFDM, etc.).
• Proficiency in MATLAB/Simulink and/or Python for algorithm modeling and simulation.
• Experience translating DSP algorithms into real-time implementations on FPGA (Verilog/VHDL/HLS) or DSP processors (TI, Analog Devices, etc.).
• Solid understanding of RF fundamentals: RF chain architecture, mixers, ADC/DAC, IF/baseband processing, noise figure, and link budgets.

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