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docker python deep learning computer vision lidar

📋 Description

  • Develop perception systems using computer vision and deep learning.
  • Build pipelines for detection, tracking, and scene understanding.
  • Design SLAM and sensor fusion algorithms (LiDAR, camera, IMU).
  • Implement control strategies (PID, MPC) and motion planning.
  • Integrate perception and control into robotic systems.
  • Conduct simulations and field tests to validate performance.

🎯 Requirements

  • 2+ years robotics engineering experience, strong C++ and Python.
  • Hands-on with ROS or ROS2 frameworks.
  • Knowledge of SLAM and LiDAR-based perception systems.
  • Exposure to reinforcement learning in simulation or real robots.
  • Familiarity with cloud robotics platforms (AWS RoboMaker, etc.).
  • Proficiency with simulation tools (Gazebo, Isaac Sim) and Git, CI/CD, Docker.
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