Lodestar is building the first autonomous AI fighter-pilot for space, to power in-orbit bodyguard satellites and deliver orbital defence as a service to high-value assets. Backed by Entrepreneur First.
About the role
At Lodestar, as a Graduate Software Engineer (I or II): 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 they're looking for
- Bachelor's, Master's, or PhD in Computer Science, Aerospace, Robotics, Applied Mathematics, or a related field, completed within the last 24 months or due to be completed before your start date
- Working proficiency in C++ and Python, evidenced through coursework, research, internships, or personal projects
- Grounding in probabilistic state estimation (Kalman filters, particle filters, Bayesian inference), whether from taught modules, research, or self-directed work
- Practical exposure to a deep learning framework (PyTorch, TensorFlow), including sequence modelling (seq2seq, RNNs, LSTMs, Transformers)
- Familiarity with trajectory modelling, multi-body dynamics, or orbital mechanics
- Demonstrated ability to work through open-ended technical problems and communicate your reasoning clearly
More about this role
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.
At Lodestar, as a Graduate Software Engineer (I or II): 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.
- Contribute to the design and implementation of Lodestar's core state estimation and prediction architecture for autonomous spacecraft operations
- Support...
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