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Computer Vision Engineer (OCR)

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djinni.co
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Що робити

  • Implement navigation and control algorithms for different types of UGVs: differential drive, tracked wheels, Ackermann steering, etc
  • Design and implement control algorithms (PID and beyond) that translate navigation commands into reliable robot motion
  • Own the control stack end-to-end – from algorithm design through tuning and validation on the physical unit
  • Simulate physical driving for different types of wheels and terrains before deploying to hardware
  • Work closely with the Robotics team on actuator and sensor integration, since control quality is only as good as what it's built on

Що очікуємо

  • Strong mathematical foundation: linear algebra, calculus, and the algorithmic thinking control systems are built on
  • Practical experience with control theory – PID control at minimum, ideally more advanced control approaches
  • Background in robotics, guidance, or navigation systems (e.g., autonomous vehicle guidance, drone terminal guidance, or similar)
  • Experience with physics simulators (e.g. Gazebo, NVIDIA Isaac, MATLAB, Simulink), with the ability to simulate dynamic models and verify controller performance before deployment
  • Experience working with sensors such as IMU, LiDAR, etc.

Що пропонуємо

  • Experience with ROS/ROS2
  • Path planning algorithms (A*, D*, RRT, etc.)
  • Prior work on UAV or UGV guidance/navigation systems
  • Defense-tech or military-tech industry exposure
  • Embedded systems or hardware-adjacent experience

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