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linux python computer vision pytorch tensorrtπ Description
- Design, implement, and test improvements to Perception subsystems, which may include Object Detection, Tracking, Sensor Fusion, or Scene Understanding.
- Work with both conventional Perception techniques and ML-based approaches across camera, LiDAR and Radar modalities.
- Evaluate and validate Perception performance using objective metrics, with attention to robustness across operating conditions.
- Collaborate with the autonomy team to integrate Perception improvements into the broader autonomous driving system.
- Stay current with relevant research and propose ideas to advance the Perception stack.
π― Requirements
- Currently pursuing a Master's degree or higher in Robotics, Computer Science, Electrical Engineering, Mathematics, Physics, or a related field.
- Prior coursework or project experience in Machine Perception, Computer Vision, or Machine Learning for Robotics or Autonomous systems.
- Familiarity with deep learning frameworks such as PyTorch and TensorRT.
- Strong programming skills in C++ and Python.
- Solid foundation in mathematics including linear algebra, probability, and optimization.
- Experience working in a Linux environment.
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