Scientific Software Developer (ABQ)

Stellar ScienceAlbuquerque, NM
9d

About The Position

We hire smart Scientists and Software Engineers who love to create and maintain high quality, extensible code, and want to learn and adopt modern C++ practices. Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.

Requirements

  • B.S. in math, science, engineering field, or computer science
  • Substantial software development experience
  • Object-oriented design and C++ programming experience
  • Adept at learning new paradigms and programming development processes
  • Interest in developing modern, high quality C++20/23 code
  • U.S. citizen, willing to undergo background investigation, and perform some work at government and/or customer sites

Nice To Haves

  • Advanced degree (M.S. or Ph.D.) in science, engineering field, math, or computer science
  • Active security clearance
  • Additional languages: Java, Python, TypeScript
  • Relevant libraries: Boost, Eigen
  • Cross-platform software development on Linux, Windows, Mac
  • 3D graphics using OpenGL, Open Scene Graph and/or WebGL
  • User interface development with Qt, Java Swing, Material UI
  • Supercomputing: OpenMP, threads, MPI, GPUs
  • Image processing, imagery analysis, or 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)
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