GNC Engineer - Estimation & Identification

Job description

𝗔𝗯𝗼𝘂𝘁 𝗕𝗲𝗹𝗹𝗮𝘁𝗿𝗶𝘅 𝗔𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲 At Bellatrix Aerospace, we are building next-generation in-space propulsion and mobility solutions that are redefining the future of space transportation. Our mission is to enable sustainable and efficient access to space through cutting-edge engineering and innovation. Join a team of passionate engineers and innovators working on technologies that power the future of the global space industry. **Role Overview** You’ll contribute to our capabilities by designing and developing robust, state-of-the-art navigation algorithms for the most demanding operational scenarios. You’ll implement algorithms in MATLAB/Simulink and C/C++, integrate them within multidisciplinary HW/SW teams and carry out validation activities. **Key Responsibilities** - Participate in the design and implementation of the AOCS/GNC subsystem for a wide variety of satellites/spacecrafts. - Design, synthesis, test, implementation, verification, and validation of GNC algorithms. Derivation of requirements from system specifications. - Implement the GNC code in the lab-tests and into the Flight Software. - Develop high fidelity Estimation and Identification models in simulations for analysis. Perform stability, convergence, and robustness analysis. - Perform in-lab sensor calibration and actuator characterization for GNC subsystems. Generate report post-analysis. - Perform design, optimization, and reliability study. - AOCS/GNC hardware specification, selection, modelling, and simulation. - Develop software automation tools for GNC test case analysis. - Perform software-in-loop, hardware-in-loop, and Monte Carlo analysis. - Documentation of the developments, analysis, and test reports. **What we would like to see from you** - Master’s in Aerospace or Electrical or Electronics or related engineering discipline. A Ph.D. will be preferred more. Industrial/Academic experience post-PhD will be given even more preference. - Strong understanding of Estimation Theory, Modern Control Theory, Sensor Fusion, Kalman Filtering, Visual Odometry, and experience in Guidance & Navigation Law development. Exposure to UKF, CKF, PF is a plus. - Strong understanding of Mathematics, and First Principles of Physics. - Experience in handling hardware and the simulations of filtering algorithms. - Software development experience in C/C++, Python, MATLAB/Simulink, and git. - Highly motivated to work in a fast paced, autonomously driven, and demanding start-up environment.