Scientific Software Developer (Dayton)

Stellar Science•Dayton, OH

About The Position

Join a collaborative team of scientists and software engineers building and maintaining high-quality, extensible software using modern C++ practices. The role involves working with software and domain experts to design and implement software that addresses complex, real-world problems. Work may span computer vision, atmospheric and physics-based modeling, high-performance computing (HPC), space domain awareness, and machine learning. Some work may be performed at government and/or customer sites in Dayton, Ohio. During the interview process, candidates will be asked to provide a representative sample of their code. This may be work-related, academic, or a personal project.

Requirements

  • Bachelor of Science or an advanced degree in computer science, mathematics, science, or an engineering field.
  • Strong experience with object-oriented development and C++ programming.
  • A track record of learning new paradigms and a desire to build clean, high-quality code.
  • U.S. citizenship.
  • Willingness to undergo a background investigation.
  • Ability to perform some work at government and/or customer sites in Dayton, Ohio.

Nice To Haves

  • Enthusiasm for or interest in adopting modern C++23 practices.
  • An active security clearance.
  • Experience or interest in one or more of the listed skills and domains: Python, Java, TypeScript, C++ Boost, Eigen; supercomputing with OpenMP, threads, MPI, or GPUs/CUDA; Linux and Windows cross-platform development; 3D graphics with OpenGL, Vulkan, or WebGL; UI development with Qt or Material UI; physics/aerospace modeling, orbital mechanics, directed energy, or AFSIM; machine learning frameworks such as PyTorch or TensorFlow; or data analysis tools such as NumPy and pandas.

Responsibilities

  • Collaborate with software and domain experts to design and implement software for complex, real-world problems.
  • Build and maintain high-quality, extensible software using modern C++ practices.
  • Support software across domains including computer vision, atmospheric and physics-based modeling, HPC, space domain awareness, and machine learning.
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