Software Engineer, Lodestar

• 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
• Willingness to work extended hours and weekends as necessary to support critical project milestones and deadlines

Desirable

• At Lodestar, as a Software Engineer - Localization, State Estimation & Prediction, you’ll be leading the development of our state estimation and prediction models at the core of Lodestar’s flagship product, MITHRIL
• You’ll be focusing on researching and developing algorithms that fuse probabilistic estimation with machine learning to track targets, predict trajectories and assess intent
• 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