Robotics Computer Vision

ATR (Airbus/Leonardo)

Computer vision algorithms
Deep learning methodologies
Real-time cnn models
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.
  • Create efficient and real-time convolutional neural network (CNN) models.
  • Lead and manage a multidisciplinary team, ensuring effective collaboration and clear communication of technical concepts to management and team members.

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 algorithms
  • deep learning methodologies
  • real-time CNN models
  • TensorFlow, Caffe, Pytorch
  • OpenCV, eigen, LAPACK, GMTL
  • Python and C++ coding

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 developing algorithms for 2D/3D sensors
  • Proficiency with Deep Learning libraries and algorithms
  • Experience with AWS, CI/CD, Terraform, Docker, Kubernetes

Work Rights

Not specified

Tailored Resume

Cover Letter