GPU-Accelerated Computational Polymer Scientist

AeroVironment, Inc.; Patterson (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical benefits

Dental & vision

401K with company match

9/80 work schedule

Paid holidays

Job summary

AeroVironment, Inc. in California seeks a Computational Polymer Scientist/Research Scientist to conduct theoretical and computational research on covalent adaptable polymer networks for DoD applications.

You will develop Python software for GPU-accelerated rheology and perform MD simulations, bridging chemistry, physics, and computer science. The role requires a PhD and strong publication record, with collaboration across internal teams and external partners to deliver macroscopic material

Qualifications

• PhD required in a closely related field.

Responsibilities

• Conduct independent theoretical and computational research on dynamics, rheology, and viscoelasticity of covalent adaptable polymer networks.
• Develop and implement Python-based software and GPU-accelerated algorithms for rheology predictions.
• Utilize MD simulations and polymer physics frameworks to model network behavior.
• Collaborate with experimental chemists and academics to translate molecular design into macroscopic predictions.
• Prepare technical reports and contribute to peer-reviewed publications.

Skills

Polymer physics

MD simulations

Python programming

Cross-disciplinary collaboration

Problem solving

Education

PhD in Physics, Chemistry, Materials Science, Chemical Engineering, Polymer Science

Tools

LAMMPS

GROMACS

HOOMD-blue

ESPResSo

CUDA/CuPy

Job description

AeroVironment, Inc. in California seeks a Computational Polymer Scientist/Research Scientist to conduct theoretical and computational research on covalent adaptable polymer networks for DoD applications.

You will develop Python software for GPU-accelerated rheology and perform MD simulations, bridging chemistry, physics, and computer science. The role requires a PhD and strong publication record, with collaboration across internal teams and external partners to deliver macroscopic material