Mission-critical software and systems engineering for space operations
Infinity Systems Engineering operates across payload integration, space operations, and system sustainment for aerospace customers. The tech stack—MATLAB, Simulink (LabVIEW), SysML modeling tools (MagicDraw, Rhapsody), plus Docker/Kubernetes and Java/Spring Boot—reveals a dual engineering culture: classical systems modeling for mission-critical design paired with cloud-native tooling for prototyping and ground operations.
Notable leadership hires: Chief Engineer
Infinity Systems Engineering, founded in 1996 and headquartered in Colorado Springs, Colorado, is a 201–500-person private company serving the aerospace and defense sector. The business centers on three operational domains: payload integration work (hardware and software subsystem design and validation), space operations support (real-time monitoring and command of on-orbit assets), and system sustainment (long-term maintenance and compliance). Active project work spans flight software development, ground station networks, hardware-in-the-loop testing, and cybersecurity engineering across the mission lifecycle. The customer base is primarily U.S. government and prime contractors subject to DoD policy, ATO requirements, and federal compliance regimes.
Core tools include MATLAB, LabVIEW, and SysML (MagicDraw, Rhapsody) for systems design; Java, Spring Boot, Python, and C++ for software; Docker, Kubernetes, and GitLab for DevOps; Splunk for observability; Oracle and SAP2000 for enterprise systems; and Cisco/Juniper for networking.
Active work includes flight software development, real-time on-orbit support, mission operations center cybersecurity, hardware/software-in-the-loop testing, ground station networks, cloud computing architectures for prototyping, and cybersecurity tool deployment and audits.
Infinity Systems Engineering's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.