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Lodestar Space · 1 month ago

Software Engineer - Localization, State Estimation & Prediction

San Francisco, US

Full-time

Onsite

Entry, Mid, Senior Level

$135K/yr - $170K/yr

2+ years exp

Lodestar is dedicated to developing advanced capabilities for protecting high-value space assets. As a Software Engineer specializing in Localization, State Estimation & Prediction, you will lead the development of state estimation and prediction models for their flagship product, MITHRIL, focusing on algorithms that combine probabilistic estimation and machine learning.

Artificial Intelligence (AI)National SecuritySecuritySpace Travel

Diversity & Inclusion

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

C++PythonProbabilistic state estimationDeep learning frameworksTrajectory modelingGPU accelerationLinuxGitCI/CD pipelinesContainerization toolsReal-time systemsMulti-threadingPerformance optimizationNetworking protocols

Required

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

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