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Lodestar Space Tech Stack

Autonomous AI decision-making for spacecraft operations

Defense and Space Manufacturing San Francisco 11–50 employees Founded 2023 Privately Held

Lodestar Space is building autonomous decision-making systems for spacecraft, with a heavy focus on ML models and real-time perception. The stack—PyTorch, TensorFlow, CUDA, OpenCV, LIDAR, TensorRT—signals deep investment in on-device inference and edge ML optimization. Active projects center on threat inference, state estimation, and autonomous algorithms that operate under communications constraints, which directly address the core challenge: making critical decisions in real-time when network contact is unreliable or unavailable.

Tech Stack 12 technologies

Core StackC++ Python PyTorch TensorFlow Docker Kubernetes Linux OpenCV CUDA LIDAR TensorRT Git

What Lodestar Space Is Building

◆Challenges

Real-time decision-making under uncertainty
Communications-limited autonomy
Resilient behavior under uncertainty

▲Active Projects

On-board decision-making models
Autonomous decision algorithms integration
Ml models for decision making
Perception system core architecture
Edge computing ml model optimization
Digital twin sensor model development
Core state estimation and prediction architecture for autonomous spacecraft operations
Novel estimation and prediction algorithms
Intent inference models to rank threat levels

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Engineering

5

Seniority

Mid

5

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About Lodestar Space

Lodestar Space develops autonomous decision-making software for space defense applications. Founded in 2023 and based in San Francisco, the company operates as a privately held organization with 11–50 employees. The engineering team focuses on ML-driven autonomy for spacecraft, with particular emphasis on perception systems, edge model optimization, and threat-level ranking algorithms. The product addresses scenarios requiring autonomous operation under uncertainty and limited communications.

HeadquartersSan Francisco

Company Size11–50 employees

Founded2023

Hiring MarketsUnited Kingdom, United States

Frequently Asked Questions

What technology does Lodestar Space use?

Core stack includes Python, C++, PyTorch, TensorFlow, OpenCV, CUDA, and TensorRT for ML inference. LIDAR and edge computing tools support real-time perception and on-device model optimization.

Is Lodestar Space hiring engineers?

Yes. The company has 5 active engineering roles at mid-level seniority. Hiring is open in the United States and United Kingdom, though posting velocity has been minimal recently.

What is Lodestar Space working on?

Key projects include autonomous decision algorithms, threat-level inference models, perception system architecture, state estimation for spacecraft, and ML model optimization for edge deployment in communications-limited environments.