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Autonomous Vehicle Engineer with Computer Vision Experience at DOT Technology Corp. (Regina, SK, Canada)


  • Strong C++ or Python coding experience

  • Familiar with CAN protocol and GPS

  • Experience developing embedded firmware for safety-critical systems in production environments

  • Experience integrating LiDAR, radar, camera, and ultrasonic hardware with autonomous vehicle systems

  • Experience with at least one deep learning framework (TensorFlow, Caffe, etc)

  • BS in Engineering/Computer Science with hands-on experience. MS or PhD preferred.


  • Assess project requirements, undertake relevant research, and implement new and utilize existing algorithms

  • Create testing procedures, simulation models, and write test driven code

  • Manage, train, and tune state-of-the-art deep neural networks

  • Source, evaluate and test sensors

  • Implement sensor fusion

  • Test the product in controlled and real situations

  • Collect, process, and manage training data, including training and testing pipelines

  • Continual improvement and management of DOT autonomous driving systems

  • Ensure DOT operates safely

by via developer jobs - Stack Overflow

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