GPU Software Algorithm engineer

As a GPU Software engineer you will in charge of design and implementation of real time imaging algorithms on a GPU. You will design parallel algorithms for imaging pipeline for real time, high resolution videos.
You will design efficient GPU architectures for imaging pipeline and you will Implement imaging algorithms on a GPU.
In addition you will be in charge of design and implementation of AI inference models on a GPU including:
Optimization of neural networks for real time applications.
Implementation of AI inference models alongside of an imaging pipeline.
Augmented display of both imaging and AI predictions on a GPU.
 
Must Have:
Education:
MSc or higher degree from a university in computer science, electrical engineering or similar.
 
Experience:
At least two years of experience in C++ programming including GPU programming (CUDA/openCL).
At least two years of experience in image processing/signal processing/ computer vision domains.
 
Nice to have:
Deep learning experience.
Deep learning optimization for inference (e.g. tensorRT) experience.
Visualization and openGL experience.
Python/MATLAB scientific programming.
Background in medical imaging.