Internship: Embedded software engineerJoin GMV's Space Equipment team in a key long-term role shaping next-generation avionics and on-board technologies for ESA missions and commercial space programs.You'll work across multiple projects within the Flight Segment and Robotics business unit, contributing directly to current developments while driving future innovations.As part of the Space Avionics and Equipment division, you will help advance cutting-edge flight hardware with a focus on digital embedded SoC solutions and breakthrough avionics concepts, playing a central role in both project execution and R&D activities.What challenge will you be taking on?
As an intern, your role will span the full lifecycle of innovative flight technologies, including:- Co-designing and developing embedded software for cutting-edge, space-resilient System-on-Chip platforms, heterogeneous processors, adaptive computing accelerators, VPUs, L-GPUs, TPUs, and other emerging architectures.
- Collaborating on Model-Based Design workflows and deployments targeting manycore heterogeneous devices.
- Designing and implementing heterogeneous systems built on RISC-V and SPARC architectures for aerospace applications.
- Exploring and integrating embedded machine-learning inference acceleration using digital and mixed-signal accelerator technologies.
- Prototyping high-performance solutions for SDR and neural-network-based applications optimized for heterogeneous architectures in space environments.What do we need in our team?
We are looking for students pursuing Bachelor's or Master's degree in Electrical, Industrial, Computer, or Telecommunications Engineering— or a related field—with a focus on programmable digital HW/SW.
- Solid proficiency in digital hardware design and development.
- Experience working with FPGAs, SoC-based implementations, and real-time operating systems.
- Familiarity with space-segment technologies and involvement in aerospace-related projects.
- Background in Model-Based Design, multicore systems, and heterogeneous architectures based on RISC-V and SPARC.
- Hands-on experience in adaptive embedded software and neural-network-based projects.The following skills will help you stand out and accelerate your impact:- RTEMS and TSP hypervisors- Fault-tolerant system design- Machine-learning inference on embedded platforms (DNNs, CNNs, SNNs)- Computer-vision techniques- ECSS standards for space engineering- Formal verification methodologiesWhat do we offer?
We offer flexible study schedules to accommodate training.
After scholarship completion, you have the opportunity to continue your professional career with us.Interesting study aid at your level of training.
Free fruit and coffee in our canteen, team activities and sports competitions.We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.In our recruitment processes you will have telephone and personal contact, face-to-face or online, with our talent acquisition team.
Bank transfers and bank cards will never be requested.
If you are contacted through any other process, please write to our team at ******.
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