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LeoLabs Tech Stack

Orbital intelligence platform for space domain awareness and threat detection

Defense and Space Manufacturing Menlo Park, California 51–200 employees Founded 2016 Privately Held

LeoLabs operates a distributed radar network and real-time data catalog for space domain awareness, built on Python, Go, C++, and MATLAB—a scientific-computing stack optimized for signal processing and orbital mechanics. The hiring pattern (5 engineers, 3 ops; 4 senior roles) and project list (next-generation radar, distributed backend, CI/CD, customer analytics integrations) reveal an ops-intensive business scaling detection and response workflows. Pain points cluster around automation (repetitive monitoring tasks, accelerating detection) and resilience (radar availability, cyber threats), indicating the team is shifting from manual orbital tracking toward autonomous threat response.

Tech Stack 13 technologies

Core StackPython Go C++ MATLAB pandas NumPy Docker Julia matplotlib SQL Git Unix Altium

What LeoLabs Is Building

◆Challenges

Protecting billions in assets
Monitoring adversarial behavior
Ensuring safe operations
Ensuring radar availability
Detecting physical and cyber threats
Automating monitoring processes
Accelerating orbital activity
Threats grow more complex
Protecting and managing satellites
Repetitive operational tasks

▲Active Projects

Supporting leop events
Next-generation radar systems
Scalable distributed backend services
Engineering practices and ci/cd pipelines
Technology evaluation for robustness
Future of the roc
Designing roc processes and playbooks
Automating monitoring points
Customer-facing analytics
Integrations with customer systems

Hiring Activity

Decelerating8 roles · 1 in 30d

Department

Engineering

5

Ops

3

Seniority

Senior

4

Mid

3

Junior

1

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About LeoLabs

LeoLabs provides orbital intelligence to military space commands, government agencies, and commercial satellite operators. The core offering is a proliferated radar network paired with real-time orbital data and AI analytics for detecting, tracking, and characterizing threats in low-earth orbit. The company serves a small but mission-critical customer base managing billions in space assets. Based in Menlo Park and founded in 2016, LeoLabs operates across the United States, Germany, and Italy with an engineering-and-operations focus.

HeadquartersMenlo Park, California

Company Size51–200 employees

Founded2016

Hiring MarketsUnited States, Germany, Italy

Frequently Asked Questions

What tech stack does LeoLabs use?

Python, Go, C++, MATLAB, Julia, pandas, NumPy, matplotlib, SQL, Git, Docker, Unix, and Altium. The mix reflects orbital mechanics and signal processing (MATLAB, Julia) paired with production backend systems (Go, C++).

What is LeoLabs working on?

Next-generation radar systems, scalable distributed backend services, CI/CD pipeline maturation, customer-facing analytics integrations, and automation of orbital monitoring workflows.