Computer Vision/Point Cloud Deep Learning Engineer

Job description

Our mission

Navinfo is the largest Digital Map Provider in China and third largest in the world. NavInfo is a China-based technology company who is leading the way to become the “Digital Brain of Intelligent Driving” with core businesses in HAD mapping, high accuracy positioning and automotive-grade semiconductors for ADAS, autonomous driving, and automated guided vehicles (AGV).

Work Environment

You will join our multi-cultural team of NavInfo Europe.

Description:

Production focused computer vision deep learning engineer designing, testing and supporting in production use deep learning algorithms and techniques to detect/segment the objects from the images and/or point clouds data. You would create new techniques and evaluate versus open source techniques to determine engineering trade-offs in production solutions. You will build, train and evaluate the deep neural networks with one of the best real-world datasets.

Requirements

Requirements:

A Masters’ degree or Ph.D. in Deep Learning, Machine Learning, Applied Math, Physics, Computer Science or equivalent

For computer vision/image processing working experience of at least 1 year (full-time) within image object detection with deep neural network

For point cloud segmentation working experience of at least 1 year (full-time) within point cloud segmentation with deep neural network and PCL experience preferred.

  • In-depth knowledge of deep learning frameworks like Tensorflow, PyTorch, etc.
  • Comfortable reading research papers and implementing models
  • Proficiency with Linux
  • Familiar with Docker and work process automation
  • C++ is a plus
  • A team player with the ability to work with tight deadlines in a multi-discipline, multi-project environment
  • Good communication skills, written and verbally, in English