# Software Engineer I or II: State Estimation & Prediction at Lodestar

- Company: Lodestar
- What the company does: 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.
- Company website: https://lodestar.space
- Type: Startups
- Level: Mid level
- Location: Los Angeles, US
- Work setup: On-site
- Pay: $99K to $133K base salary per year (USD)
- Posted: 2026-09-07
- Apply by: 2026-10-22
- Apply: https://job-boards.eu.greenhouse.io/lodestarspace/jobs/4965825101
- Page: https://www.1752.vc/careers/jobs/lodestar-software-engineer-i-or-ii-state-estimation-and-prediction/

## 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

Tags: Engineering