Job Opportunities API

About Lodestar Lodestar's mission is to develop the first "Protect and Defend" capability for high-value space assets in orbit. Our flagship product   MITHRIL   is our hardware-agnostic, AI-enabled autonomy software suite that enables us to augment any off-the-shelf spacecraft with the ability to autonomously detect, characterise, and reversibly neutralise orbital threats. By building on the proven space heritage of our best-in-class satellite-bus partners and fully integrating   MITHRIL   into single unified platform, we deliver an end-to-end, autonomous in-space bodyguarding service. About the Job At Lodestar, as a   Software Engineer: 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. We proudly have an "extreme ownership" oriented engineering culture.  What You’ll Do 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 Basic Qualifications 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 Preferred Skills & Experience Track record implementing state estimation pipelines in real-time or safety-critical systems Experience deploying sequence-to-sequence models for forecasting in dynamic environments Familiarity with sensor fusion techniques (e.g., combining radar, optical, and inertial data) Proficiency with GPU acceleration (CUDA, TensorRT) for neural network training and inference Experience with Linux, Git, and CI/CD pipelines Comfortable with containerization tools such as Docker and Kubernetes Familiarity with real-time systems, multi-threading, and performance optimization Strong understanding of networking and communication protocols for distributed autonomy systems ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR   here . Compensation & Benefits Pay Range: (E1) Junior Software Engineer: $120,000 - $140,000 / year (E2) Software Engineer: $135,000 - $170,000 / year (E3) Senior Software Engineer: Competitiv