Senior Digital Signal Processing Engineer
Pubblicato il 01-09-2026 - Leaf Space in Italia
Leaf Space is a rapidly growing scale-up company and a leading provider of ground segment as-a-service (GSaaS) solutions. Our innovative and proprietary concept is focused on providing satellite and launch vehicle connectivity as-a-service, enabling clients to efficiently manage their assets and fully exploit data.
Our GSaaS solutions have been recognized by the market for their efficiency, security, and effectiveness in supporting different applications, from remote sensing to IoT communications. JOB OVERVIEW The Senior DSP Engineer for Space-Base Mesh Networks will design, implement and optimize advanced signal-processing and communication algorithms for a distributed constellation of satellites. Working closely with senior technical leaders, you will contribute to the development of resilient, high-performance networking technologies for LEO missions.
This role blends deep DSP expertise with hands-on FPGA development, space-system constraints, and cross-link communication challenges unique to orbital environments.
RESPONSIBILITIES * Design and implement DSP algorithms for satellite-to-satellite and satellite-to-ground communication, including modulation/demodulation, channel estimation, equalization, and error-correction coding * Contribute to the design and implementation of cross-link communication protocols * Model and simulate RF/optical link performance, including Doppler effects, multipath, interference, and orbital dynamics * Implement DSP modules on FPGAs, including pipelined, parallel, and high-throughput architectures for low-latency inter-satellite links * Write and maintain HDL code (Verilog, VHDL, SystemVerilog, or Chisel) for custom signal-processing blocks, PHY-layer modules, and hardware accelerators * Collaborate with RF, antenna, networking, and spacecraft systems teams to ensure seamless integration across hardware, firmware, software and network operations * Perform system-level analysis including link budgets, timing closure, resource utiliza