OverviewYou 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 / BeneficiosHybrid working model

8 weeks teleworking per year

Relocation package

Health, dental and accident insurance

Training and language learning support

Competitive compensation

ResponsabilidadesSupport 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 principalesParallel 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 (Madrid)
🏢 GMV
📍 Madrid