Computational Scientist, Structural & Thermal

What you'll do

• Develop and automate structural, thermal, and coupled simulation capabilities and pipelines.
• Build or extend custom solvers and validate models against experimental measurements.
• Create evaluation and simulated datasets to support LLM training and machine-learning systems.

What they ask for

• Hands-on computational mechanics at code level, such as writing or substantially modifying FEM codes, implementing constitutive models, or developing custom solvers.
• Strong foundation in solid mechanics and heat transfer, including continuum mechanics, constitutive modeling, and numerical methods for PDEs.
• Strong Python skills and experience running simulations programmatically at scale.
• PhD or equivalent research experience in a relevant field; the posting also states a minimum education of a Bachelor's degree or similar experience.

Nice to have

• Familiarity with open-source simulation frameworks such as FEniCS, deal.II, or MOOSE.
• C++, Julia, or Fortran proficiency; experience with GPU-accelerated FEM, reduced-order models, surrogate models, or physics-informed neural networks.

Pay

$250,000-350,000 USD base salary

Tools

Python, C++, Julia, Fortran, FEniCS, deal.II, MOOSE

AI focus

Design evaluation datasets with RL researchers to train LLMs to direct simulation pipelines; generate simulated datasets for ML training; connect simulation workflows to ML systems and autonomous experimentation.