Autonomous Navigation Specialist

2 days ago


Fatih, Istanbul, Turkey Hyperever Full time
About the Role:

We are seeking an experienced Autonomous Navigation Specialist to join our team at Hyperever. In this role, you will be responsible for designing, developing, and implementing algorithms and software systems for robot localization, mapping, and navigation in ROS environments.

You will work closely with our team to develop and integrate sensor fusion algorithms to enable accurate localization using data from various sensors such as lidar, and inertial measurement units (IMUs). Additionally, you will implement state-of-the-art mapping algorithms to generate and maintain high-fidelity maps of the robot's environment.

Responsibilities:
  • Develop navigation algorithms to enable autonomous or semi-autonomous navigation capabilities, including path planning and obstacle avoidance.
  • Test and validate algorithms and software systems using simulation environments as well as real-world robotic platforms.
  • Collaborate with cross-functional teams to ensure seamless integration of navigation algorithms into our robotic platforms.

Requirements:
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field.
  • Proven experience in developing localization, mapping, and navigation algorithms for robotic systems.
  • Proficiency in programming languages commonly used in robotics development, including C++ and Python.
  • Strong understanding of ROS architecture and experience with ROS-based software development.
  • Experience with robotic sensors such as lidar, cameras, and IMUs, as well as sensor fusion techniques for localization and mapping.
  • Familiarity with robotic perception techniques, including point cloud processing with PCL Library, SLAM methods (Simultaneous Localization and Mapping).
  • Experience with motion planning algorithms, including both traditional methods (e.g., A* algorithm) and modern techniques (e.g., sampling-based planners, optimization-based planners).
  • Strong analytical and problem-solving skills, with the ability to debug and troubleshoot complex robotic systems.
  • Prior experience with autonomous mobile robots or robotic platforms is a plus.


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