Junior High-Performance Computing and GPU Development Engineer

GMV Spain; l'Hospitalet de Llobregat; Híbrido; EUR 35.000 - 50.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation package

Descripción de la vacante

GMV Spain is seeking a Junior High-Performance Computing and GPU Development Engineer to help design, develop and tune GNSS receivers deployed on distributed server architectures using GPUs for signal processing. You will work on CUDA-based optimization, GPU data processing, and distributed containers, with exposure to high‑speed networks and FPGA technologies, in a flexible hybrid environment.

This role offers a clear path to advanced research in space applications, mobility within national and

Formación

• Experience in CUDA parallel programming and GPU optimization.
• Experience with distributed architectures and containerized deployments.
• Proficiency in C/C++ and/or Rust for systems programming.
• Familiarity with high-speed networks (e.g., 10GbE) is a plus.

Responsabilidades

• Support implementation and optimization of signal processing algorithms on GPUs.
• Support design of distributed GNSS receivers.
• Support data transmission and synchronization over high-speed networks.

Conocimientos

CUDA programming

Memory management

Performance analysis

Distributed architectures

Containers

Herramientas

Xilinx FPGAs

C/C++

Rust

Containers (Docker)

Descripción del empleo

Junior High-Performance Computing and GPU Development Engineer

If the expression “Houston, we have a problem” gives you chill bumps... Your place is here!

We are expanding our teams in the space sector

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 beinvolved in the design, development and fine-tuning of a GNSS receiver deployedon a distributed server architecture using GPUs for GNSS signal processing. Weare looking for candidates with professional or academic experience in one ormore of the following areas: parallelised data processing using GPUs, FPGAs,high-speed networks and distributed systems. We are looking for a technicalcandidate with an interest in optimising signal processing techniques usingGPUs, distributed architectures and high-speed networks. Your responsibilitieswill include:

• Supportingthe implementation and optimisation of signal processing algorithms on GPUs.


• Supportingthe design of distributed architectures for GNSS receivers.


• Supportingthe design and implementation of data transmission and synchronisationmechanisms over high-speed networks.

WHAT DO WE NEED IN OUR TEAM?

We arelooking for engineers with experience in the following areas:

• Parallelprogramming with CUDA, memory management, performance analysis and profiling.


• Developmentof solutions for transmitting data over high-speed networks (10GbE) usingXilinx FPGAs.


• Softwarefor distributed architectures deployed on containers.


• Systemsprogramming 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.

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

Competitivecompensation with ongoing reviews, flexible compensation anddiscount on brands.

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

In our recruitment processes youwill always have telephone and personal contact, face-to-face or online, withour talent acquisition team. In addition, bank transfers and bank cards willnever be requested. If you are contactedthrough any other process, please write to our team at [e-mail]

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

WHAT ARE YOU WAITING FOR? JOIN US

#LI-Hybrid

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