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Asriel seeks a senior developer to lead state estimation and trajectory forecasting for autonomous spacecraft operations. You will design probabilistic and machine learning methods to improve tracking and prediction in challenging space environments.
The role requires strong C++ and Python skills, along with experience in deep learning frameworks and sequence modelling to advance autonomous navigation capabilities.
Lead the development of state estimation and prediction models for autonomous spacecraft operations. Research and implement algorithms combining probabilistic estimation with machine learning to track targets and forecast trajectories.
Requires a degree in Computer Science, Aerospace Engineering, or a related field with at least 2 years of industry experience. Proficiency in C++, Python, and deep learning frameworks for sequence modelling is essential.
C++, Python, Probabilistic State Estimation, Kalman Filters, Particle Filters, Bayesian Inference, PyTorch, TensorFlow, Sequence Modelling, Trajectory Modelling, Orbital Mechanics, Sensor Fusion, CUDA, TensorRT, Linux, CI/CD