Teams at Lodestar Space

Develop and optimize computer vision and machine learning perception algorithms for autonomous detection, classification, and pose estimation of space targets. Responsibilities include model training, evaluation, deployment to resource-constrained systems, simulation integration, sensor modeling, tooling maintenance, and collaboration across autonomy and mission software teams.

Build and maintain Lodestar’s mission simulation environment for autonomous space defense systems. Responsibilities include developing high-fidelity sensor and orbital environment models in Unreal Engine, creating software- and hardware-in-the-loop test benches, designing distributed simulation services, and owning telemetry and regression tooling. The role collaborates with perception, prediction, decision, and mission teams to establish simulation fidelity and validate flight software across reproducible scenarios and CI pipelines.

Lead end-to-end federal capture and proposal operations for high-value defense and space opportunities. Develop capture strategies, shape requirements with government stakeholders, manage proposal development and compliance, write and edit technical and executive content, maintain proposal libraries, conduct win/loss analyses, and build a capture team to grow Lodestar's federal business.