Software Engineer - Localization, State Estimation & Prediction - Lodestarspace

Bachelor’s or Master’s degree in Computer Science, Aerospace, Robotics, Applied Mathematics, a related field, or equivalent experience 2+ years of distinguished industry experience in state estimation, aerospace, robotics, or a related field Strong proficiency in C++ and Python Demonstrated experience with probabilistic state estimation (Kalman filters, particle filters, Bayesian inference) Experience with deep learning frameworks (PyTorch, TensorFlow) for sequence modeling (seq2seq, RNNs, LSTMs, Transformers) Familiarity with trajectory modeling, multi-body dynamics, or orbital mechanics

Design and implement Lodestar’s core state estimation and prediction architecture for autonomous spacecraft operations Research and implement novel estimation and prediction algorithms - everything from lit. review, through training and tuning, to optimisation and deployment Develop classical and neural estimators to track the current state and trajectory of multiple dynamic targets in real time Create neural models to forecast future trajectories and behavioral patterns of targets Implement intent inference models to identify actions and dynamically rank threat levels Integrate state estimation and prediction models into mission simulation environments and autonomy decision systems Collaborate with cross-functional teams including, perception, and on-board autonomy to ensure prediction fidelity, robustness, and scalability across missions

Bachelor’s or Master’s degree in Computer Science, Aerospace, Robotics, Applied Mathematics, a related field, or equivalent experience 2+ years of distinguished industry experience in state estimation, aerospace, robotics, or a related field Strong proficiency in C++ and Python Demonstrated experience with probabilistic state estimation (Kalman filters, particle filters, Bayesian inference) Experience with deep learning frameworks (PyTorch, TensorFlow) for sequence modeling (seq2seq, RNNs, LSTMs, Transformers) Familiarity with trajectory modeling, multi-body dynamics, or orbital mechanics