Computer Vision Engineer

Technicals:

• Must have: Understanding of computer vision concepts (Feature extraction, training regimes, multi-view geometry, bundle adjustment, SLAM etc)
• Must have: 1-2 years developing object detection, tracking, and semantic or instance segmentation computer vision applications.
• Must have: Programming fluency with python and related packages (NumPy, Scikit-image, PIL, OpenCV, Matplotlib, Seaborn)
• Must have: 1+ years experience of building and training models using Tensorflow, Keras or Pytorch
• Good to have: Experience working on GPU Technologies and frameworks - CUDA, Nvidia SDKs.

What you'll be doing:

• Develop the API's and libraries to utilize the software above, and integrate into a broader hardware and software environment
• Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation
• Research, design, implement, and deploy scalable computer vision, deep learning, perception, and image processing solutions
• Develop and implement new data-parallel algorithms, create technical demos