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Senior Navigation Engineer - Autonomous Vehicles

Senior Navigation Engineer - Autonomous Vehicles

Yamaha Motor Solutions IndiaIndia
25 days ago
Job description

Job Description

We are seeking a highly skilled and experienced Senior Navigation 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.

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
  • Roles & 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.
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