PhoQtek labs

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.