8 scientific software engineer jobs at 6 companies in Texas
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Scientific Software Developer
Austin, Texas, United States
HybridFull Time
Enthought: Provides scientific software and AI solutions for research acceleration.
Experience designing scientific solutions using statistics, optimization, and machine learning; ability to direct AI coding agents; strong client collaboration and software development practices.
ViridienEuronext Paris: VIRI: Provides geoscience technology and digital Earth data solutions.
5+ YOEMaster's degree in related field or 5 years scientific programming; fluency in C/C++, Fortran preferred; UNIX/POSIX, MPI, CUDA, debugging/profiling/optimization, HPC experience, full development lifecycle, strong communication.
5+ YOEMaster's degree in a quantitative field or 5+ years scientific programming, fluency in C/C++ (Fortran preferred), UNIX/POSIX, MPI/CUDA, debugging/profiling/optimization, HPC experience, full development lifecycle experience, strong communication skills.
Materials Data Scientist / Scientific Software Developer
Austin, Texas, United States
HybridFull Time
Enthought: Provides scientific software and AI solutions for research acceleration.
Deep materials and chemistry expertise, experience with machine learning and scientific software development, client-facing solution delivery, and ability to direct AI coding agents.
Texas Research International: Diversified scientific research and engineering services provider.
Develop and maintain scientific/engineering software in Python, C, and C++; work on Windows and Linux; eligible for US DoD security clearance; Bachelor's degree in Computer Science; strong math and algorithm skills.
3+ YOEBachelor's in technical/scientific field, 3+ years software/field support engineering, system fault finding, SQL/PowerShell/Python proficiency, customer support experience.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.