About Us
SkyServe is sensor agnostic "Insights-as-a-Service" edge computing platform on-board satellites, providing inferences to industries, system integrator, and geospatial developers.
Position Overview
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.