Hybrid GPU HPC Engineer for GNSS & Distributed Systems

GMV; Tres Cantos; Hybrid; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Hybrid work

Relocation package

Flexible hours

Career development

Language learning support

Teleworking 8 weeks/yr

Wellbeing program

Competitive compensation with reviews

Diversity & inclusion

Job summary

GMV is expanding its space-sector teams in Spain to design and optimize GNSS receivers deployed on a distributed server architecture using GPUs. The role focuses on GPU-accelerated signal processing, parallel data processing, and high-speed networking within a containerised environment.

You will work with CUDA-based development, Xilinx FPGA data paths, and C/C++ or Rust to implement, test and tune distributed GNSS solutions.

Qualifications

• Experience with GPU-accelerated signal processing and GNSS systems.
• Familiarity with distributed server architectures and containers.
• Proficiency in C/C++ and/or Rust; experience with systems programming.

Responsibilities

• Support implementation and optimisation of GNSS signal processing on GPUs.
• Assist designing distributed GNSS receiver architectures.
• Develop data transmission and synchronization mechanisms over high-speed networks.

Skills

CUDA

Memory management

Performance analysis

Profiling

Xilinx FPGAs

C/C++

Rust

Distributed architectures

Containers

High-speed networks

Tools

CUDA GPUs

Xilinx FPGAs

Containers

Job description

GMV is expanding its space-sector teams in Spain to design and optimize GNSS receivers deployed on a distributed server architecture using GPUs. The role focuses on GPU-accelerated signal processing, parallel data processing, and high-speed networking within a containerised environment.

You will work with CUDA-based development, Xilinx FPGA data paths, and C/C++ or Rust to implement, test and tune distributed GNSS solutions.