Scientific Software Developer; ABQ
Listed on 2026-02-08
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Software Development
Software Engineer, Computer Science, AI Engineer, Machine Learning/ ML Engineer
Overview
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.
Qualifications- B.S. in math, science, engineering field, or computer science
- 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
Advanced degree (M.S. or Ph.D.) in science, engineering field, math, or computer science
Active security clearance
Experience / Desirable- Advanced degree (M.S. or Ph.D.) in science, engineering field, math, or computer science
- Active security clearance
- Experience in any of the following is a plus:
- Additional languages:
Java, Python, Type Script - 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, Num Py, Sci Py, scikit-learn), C++, and frameworks such as PyTorch and Tensor Flow
- 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)
A representative sample of your code may be requested early in the evaluation process, e.g. something you've written for work, for a class, or for fun. It need not compile, but should be long enough to help evaluate your programming and software engineering skills.
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