Overview
You will lead GPU-accelerated GNSS signal processing within distributed server architectures. You will work across GPU optimisation, distributed GNSS receiver design, and high‐speed data transmission over networks. The role blends advanced parallel computing, hardware acceleration, and scalable software for space-grade GNSS solutions. Join a mission-driven team expanding GNSS capabilities in the space sector and influence performance and efficiency at scale.
Compensaciones / Ventajas Hybrid working model
8 weeks teleworking per year
Relocation package
Health, dental and accident insurance
Training and language learning support
Competitive compensation
Responsabilidades Support implementation and optimisation of GNSS signal processing algorithms on GPUs




Assist in designing distributed architectures for GNSS receivers
Contribute to data transmission and synchronisation mechanisms over high‐speed networks
Requisitos principales Parallel programming with CUDA, memory management, performance analysis and profiling
Develop data transmission solutions over high-speed networks (10GbE) using Xilinx FPGAs
Software for distributed architectures deployed on containers
Systems programming languages (C/C++ and/or Rust)
CUDA parallel programming
memory management
performance analysis and profiling
high-speed networking (10GbE)
Xilinx FPGA development
distributed architectures

📌 Senior High-Performance Computing and GPU Development Engineer (Tres Cantos)
🏢 GMV
📍 Tres Cantos