Computational Polymer Scientist—GPU-Accelerated Rheology

AV; Patterson (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K with company matching

9/80 work schedule

Paid holiday shutdown

Job summary

AeroVironment, Inc. in California seeks a Computational Polymer Scientist to lead theoretical and computational research on covalent adaptable networks for DoW applications. The role blends chemistry, physics, and computer science to translate molecular design into macroscopic predictions.

The position emphasizes Python development, MD simulations, and collaboration with experimental teams, with a strong emphasis on ITAR/EAR compliance and cross-disciplinary communication.

Qualifications

• PhD in a relevant field and U.S. citizenship or right to work in the U.S.
• Strong theoretical background in polymer physics and polymer networks.
• Hands-on experience with MD simulations and Python programming.

Responsibilities

• Conduct independent research on dynamics, viscoelasticity, and rheology of covalent adaptable networks.
• Develop Python-based software and algorithms for GPU-accelerated rheology predictions.
• Use MD simulations and polymer physics to model network behavior.
• Coordinate with experimentalists and academics to translate molecular design to macroscopic predictions.
• Present findings and draft technical reports and publications.

Skills

Python

MD simulations

Polymer physics

GPU-accelerated computing

Technical communication

Education

PhD in Physics/Chemistry/Materials Science/Polymer Science or closely related field

Tools

LAMMPS

GROMACS

HOOMD-blue

ESPRSo

CUDA

Job description

AeroVironment, Inc. in California seeks a Computational Polymer Scientist to lead theoretical and computational research on covalent adaptable networks for DoW applications. The role blends chemistry, physics, and computer science to translate molecular design into macroscopic predictions.

The position emphasizes Python development, MD simulations, and collaboration with experimental teams, with a strong emphasis on ITAR/EAR compliance and cross-disciplinary communication.