UAV GNC

Dronus, a leading company in autonomous drone technology, is seeking a practical and detail-oriented Guidance, Navigation, & Control (GNC) Engineer to join our team in Trieste.  The role focuses on developing highly accurate and robust control algorithms for use in a number of different applications with demanding environmental conditions.  The ideal candidate will have hands-on experience in UAV GNC developing, tuning, and validating flight control algorithms.  Key Responsibilities   Create innovative, reliable, and efficient GNC solutions to enable new and challenging aircraft capabilities for different platform layouts (multirotor, variable geometry)  Collaborate with other engineering disciplines (Systems, Software, Mechanical, Electrical) in planning, design and development of systems to ensure software and hardware performance and compatibility  Analyse sensors' data and determine the best approach to achieve a clean and robust navigation solution, including for GNSS-denied airspace, leveraging the available range of installed sensors, including IMU, pressure, VIO  Ideate and perform flight test campaigns to validate the control designs in a variety of flight conditions representative of real-world usage  Assess third party and open source software which potentially augments existing flight control capabilities  Participate hands-on in the full software life cycle, from concept through implementation, integration to flight test.  Experience Requirements   MS in Aerospace, Robotics, Mechanical, Electrical, or related engineering fields  A minimum of 3 years working in GNC, robotics, UAV engineering, aerospace, or related fields  Coding experience (C/C++ preferred) for flight-critical components  Hands-on experience with at least one UAV class (multirotor, fixed-wing, VTOL)  Proven track record taking a control algorithm from ideation to flight testing  Experience collaborating with hardware, avionics, and software teams  Preferred Qualifications   Demonstrated experience with PX4-based platforms  Experience with visual-inertial odometry (VIO), SLAM  Experience with redundancy management, fault-tolerant control  Experience with Validation&Verification procedures  Knowledge of sensor drift issues and mitigation methods  Ability to debug control/system issues in the field  Familiarity with version control and collaboration tools (Jira, Git, or equivalents)