Graduate Software Engineer, Space State Estimation

Lodestar Space; Los Angeles (CA); On-site; USD 99,000 - 174,000; Full time

Benefits offered by this job

Equity incentives

Flexible PTO

Medical, vision, dental coverage

401(k)

Job summary

Lodestar Space seeks a Graduate Software Engineer (I or II) focused on State Estimation & Prediction to join our flagship MITHRIL autonomy suite. You will research and develop probabilistic estimation fused with machine learning to track targets, forecast trajectories, and assess intent for autonomous space operations.

Join a fast-growing team in Los Angeles with an ownership-driven culture. Candidates with strong C++, Python, and DL experience in aerospace contexts will thrive in this

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Aerospace, Robotics, Applied Mathematics, or related field, completed recently or before start date
• Working proficiency in C++ and Python
• Grounding in probabilistic state estimation (Kalman filters, particle filters, Bayesian inference)
• Experience with a deep learning framework (PyTorch, TensorFlow) and sequence modelling
• Familiarity with trajectory modelling, multi-body dynamics, or orbital mechanics
• Ability to work through open-ended technical problems and communicate reasoning clearly

Responsibilities

• Design and implement Lodestar's core state estimation and prediction architecture for autonomous spacecraft operations
• Research and develop estimation/prediction algorithms from literature to training and deployment
• Implement, test, and benchmark estimators tracking multiple dynamic targets in real time
• Build and evaluate neural models forecasting future trajectories and target behaviors
• Develop intent inference models to identify actions and rank threat levels
• Integrate models into mission simulation environments and autonomy systems
• Collaborate with perception and on-board autonomy teams to ensure fidelity and scalability across missions

Skills

Probabilistic state estimation

Trajectory forecasting

Open-ended problem solving

Education

Bachelor's/Master's/PhD in Computer Science, Aerospace, Applied Mathematics

Tools

Python

C++

PyTorch

TensorFlow

Linux

Git

CI/CD

Docker

Kubernetes

Job description

Lodestar Space seeks a Graduate Software Engineer (I or II) focused on State Estimation & Prediction to join our flagship MITHRIL autonomy suite. You will research and develop probabilistic estimation fused with machine learning to track targets, forecast trajectories, and assess intent for autonomous space operations.

Join a fast-growing team in Los Angeles with an ownership-driven culture. Candidates with strong C++, Python, and DL experience in aerospace contexts will thrive in this