Aviation safety systems and real-time simulation for aerospace operations
Metis Technology Solutions builds safety-critical systems and simulation infrastructure for aerospace and launch operations. The tech stack—MATLAB, Simulink Coder, C/C++, Python, PostgreSQL, and cloud infrastructure (AWS, Azure, GCP)—reflects a company deeply embedded in scientific computing and systems modeling. Engineering-heavy hiring (13 of 20 active roles) focused at senior and mid levels, paired with active cybersecurity program implementation (FISMA, RMF, STIGs) and real-time safety-critical system development, signals scaling of both technical depth and compliance maturity.
Notable leadership hires: IT Systems Lead
Metis Technology Solutions is an AS9100-certified technical services company serving the aerospace, aviation, and space sectors. Founded in 2010 and based in Albuquerque, New Mexico, the company operates across scientific computing, systems engineering, modeling and simulation, guidance and control systems, aviation safety analysis, and secure computing facility operations. Current work spans fixed-base simulator development, launch-range safety program implementation, real-time safety-critical systems, and analytical hazard identification. The organization employs 51–200 people and actively hires in the United States and Canada, with particular emphasis on engineering roles supporting simulation infrastructure and safety-systems development.
MATLAB, Simulink Coder, C/C++, Python, PostgreSQL, AWS, Azure, GCP, Docker, Kubernetes, React, Node.js, Vue, Three.js, WebGL, and WebGPU. Emphasis on scientific computing and real-time systems modeling.
Fixed-base simulator development, launch-range safety program implementation, real-time safety-critical systems, aviation safety analytical studies, cybersecurity program implementation (FISMA, RMF, STIGs), and database-driven workflow systems.
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Metis Technology Solutions, Inc.'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.