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Trusted Space, LLC Tech Stack

ML and simulation services for space defense and national security

Defense and Space Manufacturing Leesburg, VA 11–50 employees Founded 2019 Privately Held

Trusted Space delivers modeling, simulation, and ML-driven analysis to the defense and space sector. The tech stack—Python, PyTorch, TensorFlow, CUDA, and containerization (Docker, OpenShift)—reveals a deep ML and scientific computing focus; paired with C++, Java, and sensor/image processing tools, it points to real-time autonomy and imagery analysis rather than generic consulting. Hiring is heavily weighted toward senior engineers and directors (8 of 9 roles), and active projects span space domain awareness tools, sensor simulation, and capture strategy—indicating a technical services firm scaling delivery capacity for high-assurance national security contracts.

Tech Stack 14 technologies

Core StackOpenShift Python C++ PyTorch TensorFlow Java Scala MongoDB Docker OpenStack CUDA Raspberry Pi Git RLlib

What Trusted Space, LLC Is Building

◆Challenges

New business opportunities
Customer needs communication
Improving capture processes
Supporting growth activities
Complex space-based missions
Multiple concurrent proposals

▲Active Projects

Training curriculum development
Space domain awareness operator tools development
Priority pursuit capture strategy
Multi-year qualified pipeline development
Winning proposals for national security space portfolio
Lead pink, red, and gold team reviews
Imagery simulation software development
Sensor performance modeling and simulation
Custom image processing software

Hiring Activity

Accelerating9 roles · 5 in 30d

Department

Engineering

6

Sales

3

Seniority

Senior

6

Director

2

Mid

1

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About Trusted Space, LLC

Trusted Space is a professional services firm founded in 2019, headquartered in Leesburg, VA, serving defense and space customers with custom modeling, simulation, and algorithm development. The company specializes in three areas: physics-based modeling and M&S for space systems; machine learning and autonomy solutions (including data science); and subject matter expertise on space missions. With 11–50 employees and a tech stack anchored in Python, PyTorch, TensorFlow, and CUDA, the firm supports complex space-based missions and national security portfolios. Current challenges include scaling capture and proposal processes to handle multiple concurrent opportunities and improving communication with customers on emerging needs.

HeadquartersLeesburg, VA

Company Size11–50 employees

Founded2019

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Trusted Space use?

Python, PyTorch, TensorFlow, CUDA, C++, Java, Docker, OpenShift, MongoDB, and Raspberry Pi. The mix reflects ML workloads, real-time autonomy, and sensor/image processing.

What is Trusted Space working on?

Projects include space domain awareness operator tools, sensor performance modeling, imagery simulation, custom image processing, autonomy development, and proposal capture strategy for national security space programs.