
Chief Autonomous Navigation Architect
3 days ago
Job Title: Senior Navigation Engineer
Job DescriptionWe are seeking a highly skilled and experienced engineer to lead the development of cutting-edge navigation systems for autonomous vehicles. 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.
- Key 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 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.
Essential Skills:
- 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.
The successful candidate will have the opportunity to work on challenging projects, develop new skills, and collaborate with a talented team of engineers. Additionally, we offer a competitive compensation package and opportunities for professional growth and development.
How to ApplyIf you are a motivated and experienced engineer looking for a new challenge, please submit your resume and cover letter for consideration. We look forward to hearing from you
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