Custom scientific software for space awareness and directed energy simulation
Stellar Science builds custom scientific and engineering software in Albuquerque, with a modern C++ core (C++20/C++23, Boost, Qt, CMake, Conan) paired with MPI, OpenMP and CUDA for parallel compute. Job-post projects cluster around space domain awareness and directed energy modeling, high-energy laser and high-power microwave simulation, pointing to defense-oriented physics work. Hiring is entirely engineering and weighted toward senior talent.
Stellar Science is a privately held software company founded in 1999 and headquartered in Albuquerque, New Mexico, with 51–200 employees. It performs research and develops interactive applications spanning computer vision, image enhancement, 3D visualization, computational electromagnetics, scene simulation and thermal modeling. Its software runs on everything from desktop workstations to high performance computing clusters. The team works across C++, Java, Python and TypeScript, using OpenSceneGraph, OpenGL and WebGL for visualization and PyTorch, TensorFlow and OpenCV for vision and ML work.
Primarily C++ (C++20/C++23) with Boost, Qt, CMake and Conan, plus Python (NumPy, SciPy, PyTorch, TensorFlow), Java, TypeScript, OpenGL, OpenSceneGraph, CUDA, MPI and OpenMP.
Job posts reference space situational awareness software, directed energy simulation, high-energy laser and high-power microwave system modeling, computer vision tools, and image and signature prediction.
Stellar Science is headquartered in Albuquerque, New Mexico, United States, and currently hires only in the US, focused on engineering roles.
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Stellar Science Ltd Co'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.