Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies
Job Summary
Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
Engage in rapid prototyping using Python, coupled with coding and debugging skills in C++.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Matching Summary
Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
Skills & Requirements
Must-have
Computer vision algorithm development
Deep learning methodologies
Real-time CNN models
TensorFlow, Caffe, Pytorch
OpenCV, eigen, LAPACK, GMTL
Python and C++ coding
2D/3D sensor algorithms
Nice-to-have
Model quantization, pruning, knowledge distillation
TensorRT, Deepstream, OpenVino, TRITON
Sensor interfaces and calibration
Kalman filters, particle filters, clustering
Key Requirements
Minimum 4 years of experience
Solid foundation in image processing, neural networks, CNNs, vision transformer architectures
Expertise in entire deep learning lifecycle
Experience with AWS, CI/CD, Terraform, Docker, Kubernetes