Cloud simulation platform for aerospace and satellite system design
Sedaro builds physics-based simulation software for aerospace engineers, with a Rust + Python backend on Kubernetes and a Cesium-powered visualization layer. The stack shape—heavy systems programming (Rust), orchestration (Kubernetes, Terraform), and real-time 3D rendering—reflects a company optimizing for high-fidelity, compute-intensive workloads. Engineering-only hiring (6 senior/lead roles) and active projects around performance optimization, multi-cloud reliability, and large-scale simulation studies suggest they're scaling infrastructure to handle satellite constellation modeling and design iteration at scale.
Sedaro provides cloud-based simulation software enabling aerospace and satellite engineers to model complex system behavior and optimize designs before physical prototyping. Founded in 2019 and headquartered in Arlington, Virginia, the company operates a lean engineering organization (11–50 employees, currently hiring senior engineers). The platform handles multi-simulation studies, model validation against real-world data, and visualization of results through a browser-based interface, with infrastructure distributed across multiple cloud providers.
Sedaro uses Rust and Python for backend systems, Kubernetes for orchestration, PostgreSQL for persistence, React and TypeScript for frontend, and Cesium for 3D visualization. Infrastructure is managed with Terraform and Git.
Current projects include performance optimization of the Cesium visualization pipeline, a workflow orchestration system, a knowledge engine, multi-simulation campaign execution, model validation against real-world data, and optimization studies for satellite constellations.
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