Obstacle Recognition, Localization and Tracking Engineer at DOT Technology Corp. (Regina, SK, Canada)

Skills

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• Strong C++ or Python coding experience
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• Familiar with CAN bus protocol and GPS
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• Experience developing embedded firmware for safety-critical systems in production environments
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• Experience integrating LiDAR, radar, camera, and other hardware with autonomous vehicle systems
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• Experience with at least one deep learning framework (TensorFlow, Caffe, etc)
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• BS in Engineering/Computer Science with hands-on experience. MS or PhD preferred.
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Responsibilities

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• Assess project requirements, undertake relevant research, and implement new and/or utilize existing algorithms
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• Create testing procedures, simulation models, and write test driven code
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• Manage, train, and tune state-of-the-art deep neural networks
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• Source, evaluate and test sensors
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• Implement sensor fusion
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• Test the product in controlled and real world situations
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• Collect, process, and manage training data, including training and testing pipelines
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• Continual improvement and management of DOT autonomous driving systems
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• Ensure safe operation of DOT 
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by via developer jobs - Stack Overflow