Senior Navigation Engineer - Autonomous Vehicles

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 Autoware-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 Plannig, Sensor fusion, SLAM algorithms techniques
• Proficiency in working with LiDAR, camera, radar, and IMU sensors
• Hands-on experience with Autoware 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.
• 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 Autowares 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.

Key Skills

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