Stellar Science is seeking several modern C++ 20/23 Software Engineers with experience creating reusable, maintainable code solving challenging math and physics problems. BS (or equivalent experience) required; MS/PhD degree desired. Join our unique, collaborative team to help implement leading-edge scientific software tools in fascinating domains including space situational/domain awareness, computer vision, directed energy, metamaterials, and biothermal modeling.
Experience in any of the following is a plus:
- Additional languages: Java, Python, TypeScript
- Relevant libraries: Boost, Eigen, OpenCV
- Cross-platform development on Linux and Windows
- 3D graphics: OpenSceneGraph, OpenGL, WebGL
- Supercomputing: MPI, OpenMP, threads, GPUs
- User interface development: Qt
- Continuous integration: git, Bitbucket, Jenkins, CMake
- Image processing, imagery analysis, computer vision, computer aided design (CAD)
- Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
- Modeling and simulation, including directed energy
- Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow
- Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression, clustering)
- Experience with Advanced Framework for Simulation Integration & Modeling (AFSIM)
Code sample or C++ evaluation required.
Extremely flexible work schedule, hybrid workplace model, & generous benefits.
US Citizenship required + willingness to undergo a background investigation.
Active Security Clearance is a plus.
Positions are in or near: Albuquerque, NM, Dayton, OH, or Tysons Corner, VA (Washington DC area.)
What We Do
Stellar Science is a small but growing company developing custom scientific and engineering software. We conduct research and develop interactive software in the fields of computer vision, image enhancement, three-dimensional visualization, computational electromagnetics, scene simulation, and thermal modeling, on systems ranging from desktops to high performance supercomputing clusters.
