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Senior Autonomous Vehicle Systems Developer

2 weeks ago


Faridabad, Haryana, India beBeeNavigation Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Description:

We are seeking a highly skilled and experienced 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 Autoware-based solutions. This role involves designing, developing, and integrating navigation systems to enable safe and efficient operation of autonomous vehicles in complex environments.

  • 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 Skills & Qualifications:

To be successful in this role, you will need the following skills and 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:

The following skills are essential for success in this role:

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

In this role, you will be responsible for:

  • 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.
  • Experience with simulation tools like AWSIM, Gazebo or CARLA for testing navigation systems.
  • Working closely with cross-functional teams (perception, control, hardware) to ensure system-level integration.
  • Mentoring junior engineers and contributing to building a high-performing team.
  • Maintaining detailed technical documentation of algorithms, software architecture, test results, and system configurations.