Senior High-Performance Computing and GPU Development Engineer

GMV Spain; l'Hospitalet de Llobregat; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation package

Health insurance

Dental insurance

Language training

Career development

Flexible hours

Hybrid work model

Descripción de la vacante

GMV Spain is seeking a Senior High-Performance Computing and GPU Development Engineer to lead GNSS signal processing on GPUs within a distributed server architecture. You will contribute to the design and optimisation of GPU-accelerated algorithms and distributed GNSS receivers, while shaping scalable HPC solutions in the space sector.

The role offers a hybrid working model with international mobility and a relocation package.

Formación

• Experience with CUDA parallel programming, memory management and profiling.
• Experience delivering software for distributed GNSS receivers using GPUs.
• Knowledge of high‑speed networks and data transmission.

Responsabilidades

• Support implementation and optimisation of signal processing algorithms on GPUs.
• Support design of distributed architectures for GNSS receivers.
• Support design and implementation of data transmission and synchronisation over high‑speed networks.

Conocimientos

CUDA

Memory management

Performance analysis

Profiling

10GbE

Xilinx FPGA

Distributed architectures

Containers

C/C++

Rust

Herramientas

Docker

Descripción del empleo

Senior High-Performance Computing and GPU Development Engineer

Do you want to lead a consolidated team in the space sector and take on new challenges? GMV is an experienced technology group.

We are expanding our teams in the space sector to take on GNSS projects.

We´ll get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV website

WHAT CHALLENGE WILL YOU BE TAKING ON?

You will be involved in the design, development and fine-tuning of a GNSS receiver deployed on a distributed server architecture using GPUs for GNSS signal processing. We are looking for candidates with professional or academic experience in one or more of the following areas: parallelised data processing using GPUs, FPGAs, high-speed networks and distributed systems. We are looking for a technical candidate with an interest in optimising signal processing techniques using GPUs, distributed architectures and high-speed networks. Your responsibilities will include:

• Supporting the implementation and optimisation of signal processing algorithms on GPUs.
• Supporting the design of distributed architectures for GNSS receivers.
• Supporting the design and implementation of data transmission and synchronisation mechanisms over high-speed networks.

WHAT DO WE NEED IN OUR TEAM?

We are looking for engineers with experience in the following areas:

• Parallel programming with CUDA, memory management, performance analysis and profiling.
• Development of solutions for transmitting data over high-speed networks (10GbE) using Xilinx FPGAs.
• Software for distributed architectures deployed on containers.
• Systems programming languages (C/C++ and/or Rust).

WHAT DO WE OFFER?

Hybridworking model and 8 weeks per year of teleworking outside your usual geographical area.

Flexible start and finish times, and intensive working hours Fridays and insummer.

Personalizedcareer plan development, training and language learning support.

National and international mobility. Do you come from another country?We can offer you a relocation package.

Competitivecompensation with ongoing reviews, flexible compensation and discount on brands.

Wellbeingprogram: Health, dental and accident insurance; free fruit and coffee,physical, mental and financialhealth training, and much more!

We promoteequal opportunities in recruitment, and we are committed to inclusion anddiversity.

#LI-Hybrid

If you have any questions please do not hesitate to contact Ignacio Martínez de Salinas, in charge of this vacancy.