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 - GMV (Tres Cantos)
🏢 GMV
📍 Tres Cantos