Senior AI Software Engineer - Geoscience AI Research

University of Texas

Utah

On-site

USD 95,000 - 125,000

Full time

3 days ago

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Job summary

The University of Texas at Austin seeks an AI Computational Scientist - Senior Software Engineer to advance AI/ML applications in geosciences. Based at UT Main Campus, you will collaborate with departments to design and deploy ML workflows and graph-based simulators across units.

Responsibilities include developing scalable scientific software, mentoring researchers, building datasets, and ensuring responsible AI adoption.

Qualifications

Master's degree in Earth sciences, computational sciences, applied mathematics, computer science, engineering, physics, or a related field.
At least three years of experience in software development on complex systems.
Production experience with at least two programming languages, including scientific Python.
Experience with ML frameworks such as PyTorch, JAX, TensorFlow, or similar.
Experience with Linux-based scientific computing environments and HPC systems.

Responsibilities

Research Capacity Building and Scientific AI Development across geoscience units.
Design, implement, and evaluate ML workflows for Earth and planetary science research.
Develop AI approaches including neural surrogates, emulators, physics-informed models, and foundation-model tools.
Collaborate with research groups to enhance computational workflows and adoption of AI methods.