Computer Vision Engineer

Vision Framework Team's Goal

• Developing most optimized computer vision framework software on Samsung vision processor in the automotive SoC

Major Responsibilities

• Work on porting/optimizing computer vision kernels (most of major kernels supported by OpenCV)
• Work with major categories of computer vision algorithms including:
  • Image processing: vector, drawing, histogram, filters, warping, scaling
  • Segmentation: thresholding, contour, watershed, edge detection, grapcut
  • Feature detection: FAST, STAR, SIFT, SURF, ORB, Harris
  • Object detection: boosting, Haar-like, Hog
  • Motion: optical flow, tracking
  • Classification: SVM, kNN, Random forest
  • Custom algorithms from customer's requirement
• Implement OpenVX standard with highly optimized kernels and custom extensions for vision processor
• Implement OpenCL standard on Samsung vision processor
• Implement Samsung's own style computer vision framework (OpenCV like api)
• Develop test plans and write full automated diagnostic tests, unit tests and integration tests
• Analyze customer issues (Vision framework users such as perception module) and provide support
• Develop software requirement and documentation for safety certification (ISO-26262, ASIL-B)

Preferred Qualifications

• Minimum 3 years of experience in relevant field.
• C/C++ programming skills
• Knowledge of computer architecture and DSP principles
• Knowledge of imaging, computer vision and AI algorithms
• Knowledge of software implementation on embedded systems
• Experience of computer algorithm porting, optimization and performance tuning
• Familiarity with optimizing and debugging code on the DSP or embedded platforms
• Experience in intrinsic style programming, understanding assembly code desired
• Knowledge of OpenVX, OpenCV or OpenCL highly desired.
• Experience of development in multicore and multi-processors architecture is highly preferred