C++ Software Engineer (DC, NoVA)

Posted 10 Days Ago
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Tysons, VA, USA
In-Office
Mid level
Software
The Role
Seeking modern C++ Software Engineers with 3+ years of experience for coding, solving math/physics problems in scientific software tools.
Summary Generated by Built In

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 situational awareness
  • Modeling and simulation, including directed energy
  • Code sample or C++ evaluation required. 

Extremely flexible work schedule & generous benefits.

US Citizenship required + willingness to undergo a background investigation. 

Active Security Clearance is a plus.

Positions are in Tysons Corner, VA (Washington DC area) or Albuquerque, NM. 

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The Company
Albuquerque, NM
67 Employees
Year Founded: 1999

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.

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