Responsibilities
- Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.
- Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.
- Engineer solutions for quality inspection equipment, medical equipment, and more.
- Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.
Qualifications
- Master's degree in Computer Science or Electrical/Computer Engineering or relevant experience (PhD preferred).
- 4 years industry experience in Computer Vision related field.
- Minimum 3 years industry experience in Computer Vision or related field.
Required Skills
- Computer Vision algorithms and applications, such as 3D reconstruction (structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation.
- Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems.
- Algorithm optimization for efficient processing, exploiting parallelism, and GPU.
- Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2 years).
- C++ programming skills, preferably in an embedded environment with GPU and familiar with UML (>2 years).