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.
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.
Experience with fixed-point arithmetic and quantization effects in embedded DSP implementations.
Hands-on experience with lab equipment: spectrum analyzers, VSAs/VSGs, oscilloscopes, network analyzers.
Strong analytical and mathematical skills (linear algebra, probability/statistics, estimation theory).
Preferred / Nice-to-Have
Experience with SDR platforms (USRP, GNU Radio) or radar/EW systems.
Familiarity with wireless communication standards (5G/LTE, Wi-Fi, satellite comms, or defense-specific waveforms).
Experience with beamforming, MIMO, or phased-array antenna systems.
Exposure to machine learning applied to RF/spectrum sensing (RF fingerprinting, cognitive radio).
Experience with high-speed data converters and RF SoCs (e.g., Xilinx RFSoC). Prior work in domains such as defense, aerospace, telecom infrastructure, or satellite communications.
Publications or patents in RF/DSP algorithms.
Why Join SkyServe?
Work on cutting-edge AI and computer vision challenges.
Build solutions that operate from edge devices to space-based platforms.
Lead a talented and highly motivated engineering team.
Opportunity to shape the future of AI-driven intelligence products.
Fast-paced startup environment with significant ownership and impact.
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