Job Description : Autonomous Navigation Specialist {robotics engineer}
Role Overview
We are seeking an experienced Autonomous Navigation Specialist to design, develop, and optimize advanced navigation systems for autonomous vehicles, drones, and robotic platforms. The ideal candidate will have a proven track record of building robust systems that can operate independently and safely in GPS-denied and complex environments. This role requires deep expertise in algorithm development, multi-sensor fusion, and real-world deployment of navigation stacks.
Key Responsibilities
- Lead the design and implementation of Simultaneous Localization and Mapping (SLAM) pipelines for autonomous platforms.
- Develop and optimize path planning and motion control algorithms to enable safe and efficient navigation.
- Integrate and calibrate diverse sensors, including IMUs, LiDARs, cameras, GNSS, and radar , into a cohesive navigation framework.
- Implement and maintain sensor fusion algorithms (e.g., EKF, UKF, graph-based optimization).
- Conduct extensive simulation, testing, and validation using tools like ROS / ROS2, Gazebo, CARLA, or similar platforms.
- Collaborate with hardware, perception, and AI teams to deliver end-to-end autonomous navigation solutions.
- Troubleshoot system performance in field tests and iteratively improve reliability under real-world conditions.
- Mentor junior engineers and contribute to technical roadmaps and research directions.
Required Skills & Experience
Strong background in robotics, computer vision, or control systems (Master’s or PhD preferred).2+ years of hands-on experience developing and deploying navigation systems for autonomous drones, robots, or vehicles.Deep expertise in SLAM (visual, LiDAR, or visual-inertial) , path planning , and multi-sensor fusion .Proficiency in C++ and Python , with extensive experience in ROS / ROS2 .Strong understanding of control theory, state estimation, and probabilistic robotics .Experience with simulation tools (Gazebo, CARLA, AirSim, or equivalent).Familiarity with GPU / embedded platforms (NVIDIA Jetson, FPGA, or similar).Demonstrated ability to solve complex problems and deliver production-ready systems.Preferred Qualifications
Experience with autonomous drones (UAVs) and ground robots (UGVs) .Publications or patents in navigation, robotics, or related domains.Hands-on experience with field testing of autonomous navigation systems.Knowledge of safety standards and regulatory requirements for autonomous systems.What We Offer
Opportunity to work on cutting-edge autonomous systems with global impact.A highly collaborative environment with hardware and AI experts.Growth opportunities in a fast-scaling deep-tech startup.