As an intern, you will take on technically ambitious andforward‑looking responsibilities that contribute directly to our next‑generation space avionics developments. You will be involved in:
1. Co‑designing and developing embedded software for new space‑grade System‑on‑Chip platforms, including heterogeneous processing architectures, adaptive computing acceleration platforms, VPUs, low‑power GPUs, TPUs, and other novel computing technologies.
2. Collaborating on Model‑Based Design workflows and supporting deployments on manycore heterogeneous devices used in space avionics.
3. Designing and implementing heterogeneous computing systems based on RISC‑V and SPARC architectures tailored for aerospace applications.
4. Exploring and implementing embedded machine‑learning inference acceleration, leveraging both digital and mixed analog‑digital accelerator technologies.
5. Engaging in rapid prototyping workflows for Software‑Defined Radio (SDR) and Neural Network–based applications, optimized for heterogeneous architectures intended for space use.
DO YOU WANT TO BE PART OF OUR TEAM?
.We are looking for a motivated intern who brings a strong technical foundation and a genuine interest in cutting‑edge space technologies. The ideal candidate will have:
6. Bachelor’s or Master’s studies in Electrical Engineering, Industrial Engineering, Computer Engineering, Telecommunications Engineering, or a related field, preferably with a focus on programmable digital HW/SW systems.
7. Proficiency in digital hardware design and development
8. Experience working with FPGAs and System‑on‑Chip (SoC) platforms, as well as exposure to real‑time operating systems.
9. Familiarity with space‑segment technologies and an interest in aerospace‑related projects or standards.
10. Background in Model‑Based Design, multicore architectures, and heterogeneous system design involving RISC‑V and SPARC processors.
11. Hands‑on experience with adaptive embedded software and exposure to neural network–based projects or machine‑learning workflows.
The following skills are not mandatory but will be considered a strong plus and will enhance your ability to contribute to our advanced space‑avionics developments:
12. Experience with RTEMS and TSP hypervisors for real‑time and partitioned embedded systems.
13. Understanding of fault‑tolerant design principles for mission‑critical aerospace applications.
14. Knowledge of machine‑learning inference techniques, including DNNs, CNNs, and SNNs, deployed on embedded or resource‑constrained platforms.
15. Familiarity with computer‑vision algorithms and their implementation in embedded environments.
16. Awareness of ECSS standards and their relevance to space‑segment engineering practices.
17. Exposure to formal verification methods for ensuring correctness and reliability in hardware and software systems.
WHAT DO WE OFFER?
We are flexible! We want you to finish your training first, we adapt to your study schedules.
And after? You can continue with us once your scholarship is over and develop your professional career.
Interesting study aid according to your level of training.
You will find free fruit and coffee at your disposal in our canteen, and you can join your team activities and sports competitions
️We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.
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