Advanced Autonomous Vehicle Navigation Specialist

1 week ago

Kurnool, Andhra Pradesh, India beBeeNavigation Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking a highly skilled and experienced Navigation Systems Engineer to join our team in developing cutting-edge autonomous vehicle systems.

The ideal candidate will have a strong background in robotics, ROS2, sensor fusion, and navigation algorithms, with hands-on experience in implementing and optimizing Ros2 and Auto ware-based solutions. This role involves designing, developing, and integrating navigation systems to enable safe and efficient operation of autonomous vehicles in complex environments.

Main Responsibilities:

  • Design and implement advanced navigation algorithms, including path planning, localization, and mapping.
  • Develop and optimize motion planning systems for dynamic obstacle avoidance and trajectory generation.
  • Integrate semantic understanding of environments into navigation systems for enhanced decision-making.
  • Implement real-time sensor fusion techniques to ensure robust perception in dynamic environments.
  • Configure and customize Autoware modules for specific vehicle platforms.
  • Optimize Autoware's planning and control algorithms for real-world application.
  • Conduct simulations and real-world tests to validate navigation algorithms under various conditions.
  • Experience with simulation tools like AWSIM, Gazebo or CARLA for testing navigation systems.

Key Requirements:

  • Extensive experience with Navigation Path Planning, Motion Planning, Sensor fusion, SLAM algorithms techniques.
  • Proficiency in working with LiDAR, camera, radar, and IMU sensors.
  • Hands-on experience with Auto ware and ROS2.
  • Familiarity with Machine/Deep learning frameworks.
  • Experience with real-time systems and embedded software development.
  • Strong mathematical background in linear algebra, probability theory, and optimization.

Essential Qualifications:

  • Bachelor's or master's degree in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Minimum of 3-8 years of experience in autonomous navigation or robotics development.
  • Proficiency in programming languages such as C++ and Python, with a focus on ROS2 development.

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