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What you’ll be doing:
Work closely with AV perception core team, AV production team, and AI infrastructure engineers to accelerate and optimize the AV perception DNN development and deployment, and achieve the high quality and reliability of AV perception in NVIDIA Drive products.
Will be mainly focus on building automatic pipelines of data processing, auto-labeling, real or synthetic ground truth generation and diagnosis, and driving evaluation, validating the effectiveness of the latest auto-driving algorithms and strategies, integrating DNN models into driving applications. We need to have passion for both deep learning and autonomous driving domain!
What we want to see:
BS or MS candidate in Computer Science, Computer Engineering or Electrical Engineering, or related majors
Excellent programming, software design, and testing skills in Python, C++, or similar languages.
Good knowledge in the following areas: 3D Computer Vision, Self-Driving-Cars, Robotics, SLAM, Deep Learning, GPU technology.
Solid knowledge of Linux programming and should be familiar with working under Linux environments.
Good understanding of system architecture,CPU/GPU/Memory/Storage,everything related to performance optimization.
Fluent in both oral and written English.
Ways to stand out from the crowd:
Background in computer vision, machine learning, deep learning, statistics
OpenCV/OpenGL programming skills will be a big bonus.
Knowledge of object detection/tracking, multi-sensor fusion such as lidar or camera, and time synchronization.
Experience with large data exploration, analysis and visualization with Python and SQL.
Experience with deep learning models training with popular frameworks like Tensorflow, Pytorch, Caffe and model deployment.
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