Job Description

• Port, implement, and optimize computer vision algorithms on embedded devices
• Prototype novel computer vision features or product
• Deep learning/AI model data preprocess, training & deployment
• Evaluate & benchmark state-of-the-art or partner’s computer vision solutions
• AI/CV features design & integration

Basic Qualifications

1. Engineering or equivalent.
2. 5+ years of computer vision algorithm development and deployment experience.
3. Familiar with coding in C++, Python and Matlab
4. Experience of developing and designing computer vision technologies and systems for running on edge devices
5. Knowledge of linear algebra fundamentals and optimization
6. Knowledge of coordinate transformation, image alignment, and stitching
7. Knowledge of deep learning, convolutional neural networks, and recurrent neural networks

Preferred Qualifications

• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
• Experience in object detection & recognition algorithms
• Experience in using deep learning frameworks – Tensorflow, Caffe, MXNet, or Pytorch
• Experience in 3D vision and/or 3D point cloud algorithm development
• Experience with CPU/GPU and mobile optimization
• Proven experience in implementing computer vision algorithms in production-level