Company Overview Civitanavi Systems S.p.A. is a leading player in the design, development and manufacture of high-tech solutions for Navigation, Control and Stabilization Systems, for several applications in Aerospace, Defense, and Industrial sectors. The application of proprietary methods and technologies, based on FOG (Fiber Optic Gyroscope) and MEMS (Micro Electro-Mechanical Systems) technology, enables the company to best meet the specific needs of its customers. Founded as a start-up in 2012 in Italy, listed on Euronext Milan since 2022 and now part of Honeywell (acquisition and delisting completed in August 2024). Job Summary As Navigation Algorithm Engineer, the main task will be to develop navigation algorithms for strapdown Inertial Navigation Systems for different types of applications (space, aerospace, terrestrial, underground) and in several scenarios (with or without external aiding sensors), optimized for real-time use within the navigation software that is part of the Inertial Navigation System. Responsibilities and Duties Develop, manage and tune Navigation Algorithm (Free and Aided Integration) Develop and use Inertial Sensors models, external aiding sensors models and Flight Generator Perform simulation with both real and synthesized data Perform feasibility studies in order to select/verify the inertial sensors to be used in relation to the required system requirements Support for the flow-down of requirements from system level to inertial sensor level Produce technical documentation Optimization of the algorithms for real-time execution in the target environment Participation in the definition of new products to support the company technology roadmap and the strategic marketing Contribute to the preparation of technical proposals and requirements compliance matrix for bid/Request For Proposal (RFP) Qualification and Skills Required Skills University degree in Electronics, Aerospace Engineering, Physics or equivalent Knowledge of avionics, navigation and related algorithms, control systems theory Knowledge of strapdown inertial navigation systems Proficient in Kalman filtering, initial alignment, aided navigation, sensor and dynamic error compensation Experience in the design and analysis of extended Kalman filters and related algorithms Knowledge of linear systems and estimation theory Consolidated knowledge of MathWorks MATLAB/Simulink and C language Great mathematical and analytical abilities Ability to adopt the proper communication attitude to be effective depending on the audience and context Knowledge of English language (at least intermediate level) Experience simulating aerospace/terrestrial vehicles dynamics (trajectory generator) Experience with GPS and inertial sensor modeling Familiarity with requirements management tools (preferred IBM Rational DOORS) J-18808-Ljbffr