Internship - Integration of ML models in High performance computing architecture W/M

Are you looking for challenge ? Are you curious and eager to take on an intership that will help you develop your skills and put your academic knowledge into practice ?

Would you like to join an innovative and agile company and contribute to its continued growth ? 

To help us achieve our performance objectives, we are continuing to pursue our ambitions and strengthen our teams within our subsidiary, Bertin ALPAO. 
Join us and apply for our intership opportunity entitled : Integration of ML models in High performance computing architecture.

The Real-Time Computer (RTC) is a platform designed for adaptive optics systems requiring high loop frequencies and low latency. It supports control rates up to 5kHz with a typical latency below 80μs, making it suitable for applications such as atmospheric turbulence compensation.
Today, new control algorithms based on machine learning are emerging. They help increasing the robustness and accuracy of turbulence compensation.

Your main Responsibilities :

The goal of this internship is to implement such ML models, validated by the R&D team, on the RTC. A study on minimum hardware prerequesite will be necessary. Validation and performance tests will be done on the Bertin Alpao turbulence generator bench.

 Deployments on real-world systems should also be anticipated, in particular systems used by the R&D team. Focus on interoperability will be necessary from the start of the internship

Qualifications:

We are looking for a Master's degree student or final-year Engineering School student, specializing in computer Science, Artificial Intelligence or a related field.

Key Skills Required

• Knowledge of Machine Learning and control algorithms.

• Good programming skills in Python and/or C++

• Interest in high-performance computing, real-time systems and R&D projects