
Robotics Engineer
4 days ago
Job Description: Autonomous Navigation Specialist {robotics engineer}Role OverviewWe 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.
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