Autonomous Navigation Expert

3 days ago

Bengaluru, Karnataka, India beBeeNavigation Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Senior Navigation Engineer Job Description

Job Summary: We are seeking a highly skilled and experienced Senior Navigation Engineer to design and implement advanced navigation algorithms, including path planning, localization, and mapping.

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.
  • Strong knowledge of localization techniques, including SLAM (Simultaneous Localization and Mapping) and GNSS-aided navigation.
  • Proficiency in state estimation methods such as Kalman Filters (KF), Extended Kalman Filters (EKF), and Particle Filters.
  • 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.
  • Work closely with cross-functional teams (perception, control, hardware) to ensure system-level integration.
  • Mentor junior engineers and contribute to building a high-performing team.
  • Maintain detailed technical documentation of algorithms, software architecture, test results, and system configurations.

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.
  • 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.

Key Skills:

  • C++, Motion planning, SLAM, Dynamic obstacles, Model Predictive Control, Path Planning, ROS2, Autoware, Python, Machine learning.

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