Autonomous Space State Estimation & Prediction Engineer

Lodestar Space; Los Angeles (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Meaningful equity incentives

Flexible PTO

Comprehensive medical, dental & vision coverage

401(k) retirement plan with company match

Job summary

Lodestar Space, based in Los Angeles, is seeking a Software Engineer specializing in State Estimation & Prediction. You will lead the development of state estimation models crucial for their flagship product, MITHRIL. The role focuses on developing algorithms that leverage machine learning for tracking and predicting dynamic targets.

Candidates should hold a degree in a relevant field and have experience with C++, Python, and state estimation techniques. The position offers a competitive salary and comprehensive benefits including equity incentives and medical coverage.

Qualifications

• 2+ years of experience in state estimation, aerospace, robotics, or a related field.
• Demonstrated experience with Kalman filters, particle filters, and Bayesian inference.
• Familiarity with trajectory modeling, multi-body dynamics, or orbital mechanics.

Responsibilities

• Design and implement state estimation and prediction architecture for autonomous spacecraft operations.
• Develop classical and neural estimators to track current state and trajectory.
• Integrate models into mission simulation environments and autonomy decision systems.

Skills

C++

Python

Probabilistic state estimation

Machine learning

Deep learning frameworks

Education

Bachelor’s or Master’s degree in Computer Science, Aerospace, Robotics, Applied Mathematics

Tools

PyTorch

TensorFlow

Linux

Git

Docker

Kubernetes

Job description

Lodestar Space, based in Los Angeles, is seeking a Software Engineer specializing in State Estimation & Prediction. You will lead the development of state estimation models crucial for their flagship product, MITHRIL. The role focuses on developing algorithms that leverage machine learning for tracking and predicting dynamic targets.

Candidates should hold a degree in a relevant field and have experience with C++, Python, and state estimation techniques. The position offers a competitive salary and comprehensive benefits including equity incentives and medical coverage.