A leading technology company developing advanced autonomous robotic systems is looking for a Control & Navigation Engineer to join its core engineering team. The role focuses on developing real-time navigation, estimation, and control algorithms for complex autonomous platforms operating in dynamic environments.
Responsibilities:
Develop and implement state estimation and sensor fusion algorithms Integrate multiple sensors into real-time navigation systems (IMU, GPS, LiDAR, Radar, Cameras, etc.) Develop and improve control algorithms for stability and trajectory tracking Analyze system and field logs to improve estimator and controller performance Work on real-time, resource-constrained systems Test and validate algorithms in simulation and real-world environments Collaborate closely with Embedded, Perception, and Software teams Write clean, maintainable, production-quality code
Requirements:
BSc or MSc in Mechanical Engineering, Aerospace Engineering, or related fields 3–5 years of hands-on experience with Kalman Filters, sensor fusion, and nonlinear dynamics Experience with real-time systems and multi-sensor integration Strong Python skills for analysis and tooling Strong problem-solving and debugging capabilities Ability to work independently in a fast-paced environment
Advantages:
Experience with autonomous robotics, UAV/UGV platforms Experience with PX4, ROS2, or similar frameworks Experience with C/C++ in Linux environments Hands-on hardware integration, calibration, and field testing experience Background in control theory (LQR, MPC, nonlinear control)
CV+6217@hrhome.co.il