Stellar Science is seeking several modern C++20/23 Software Engineers with three or more years of industry 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 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
- 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
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.
Must be willing to perform some work at government and/or customer sites.
Positions are in Dayton Ohio. We are currently hiring remote employees near current remote employees in Dayton, OH where we plan to open a small satellite office.
Skills Required
- Three or more years of industry experience creating reusable, maintainable code
- BS or equivalent experience
- US Citizenship
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.
