Senior Autonomous Navigation Engineer

6 days ago

Varanasi, Uttar Pradesh, India beBeeNavigation Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Key Responsibilities

  • The ideal candidate will design and develop advanced navigation systems for autonomous vehicles, utilizing cutting-edge technologies such as ROS2 and Auto ware.

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

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

Responsibilities Include:

  • Designing and implementing advanced navigation algorithms, including path planning, localization, and mapping.
  • Developing and optimizing motion planning systems for dynamic obstacle avoidance and trajectory generation.
  • Integrating 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.
  • Implementing real-time sensor fusion techniques to ensure robust perception in dynamic environments.
  • Configuring and customizing Autoware modules for specific vehicle platforms.
  • Optimizing Autoware's planning and control algorithms for real-world application.
  • Conducting simulations and real-world tests to validate navigation algorithms under various conditions.
  • Experienced with simulation tools like AWSIM, Gazebo or CARLA for testing navigation systems.
  • Collaborate 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.

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