What you'll do

• Develop production ready vision tools to aid in manufacturing quality automation.
• Characterize performance of vision tools and write optimized code
• Exploit compute accelerators (e.g CUDA) and other embedded vision engines
• Work primarily in Python/C/C++

Minimum Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
• 7 years of real world experience in building and deploying machine learning/computer vision tools
• Experience with performance centric approaches using CUDA, TensorRT, OpenMP, OpenCL
• Experience with popular frameworks such as PyTorch, Caffe and Tensorflow
• Experience with Python, C and C++
• Experience with OpenCV libraries
• Emphasis on strong development practices: git, github, CI/CD, unit testing
• Willingness to learn and grow in the role