FPGA Engineer
Xovian Aerospace is deploying AI-Native RF satellite infrastructure for providing 24x7 real-time Geospatial and Signals Intelligence (GEOINT & SIGINT). The startup aims at cutting down the human & economic toll and bring operational efficiency across industries by providing asset monitoring and situational awareness through its RF satellite driven, sector agnostic decision Intelligence platform.
The startup's team is comprised of Ex-ISRO personnel & Industry Experts with vast Experience in Satellite Missions and has won multiple national awards for its innovative indigenous developments.
RF Signal Processing & FPGA Engineer
Core Mission
Design and implement real-time digital processing architectures capable of extracting structured insights from complex RF environments, including weak, indirect, and overlapping signals.
Key Responsibilities
• Design digital signal processing pipelines for signal detection, classification, and extraction
• Develop algorithms for delay estimation, frequency shift analysis, and phase-based measurements
• Implement multi-channel correlation and synchronization pipelines
• Design and implement DDC/DUC architectures for wideband signal capture
• Develop RTL pipelines (VHDL/Verilog) for high-throughput real-time processing
• Interface with high-speed ADC/DAC systems (JESD, LVDS, etc.)
• Optimize latency, throughput, and power for onboard processing
• Enable real-time data reduction and preprocessing before downlink
• Support SDR-based prototyping and simulation environments
Core Competencies
• Strong DSP and statistical signal processing foundation
• FPGA design (VHDL/Verilog/SystemVerilog)
• Python, MATLAB, C/C++ for modeling and validation
• Understanding of real-time systems and high-speed data pipelines
Requirements
Preferred Background
• 4-6 years in signal processing, FPGA, or RF sensing systems
• Experience in SDR, spectrum monitoring, or remote sensing domains
• Exposure to working with non-ideal or low SNR signal environments
• Experience in SDR, spectrum monitoring, or remote sensing domains
• Exposure to working with non-ideal or low SNR signal environments