Senior Applications Engineer, AI for Material Science and Chemistry

What you'll do

• Develop tools and features for performant atomistic simulation workflows.
• Help customers and developers integrate materials science applications with AI surrogates into their workflows.
• Profile applications, benchmark performance, and collaborate on research, whitepapers, and workshops.

What they ask for

• PhD or equivalent experience in computational physics, computational chemistry, computer science, or a related technical field.
• 8+ years of experience or demonstrable expertise developing high-performance numerical methods for scientific computing or materials science applications.
• Experience running materials science simulations on large-scale HPC systems.
• Proficiency in Fortran, C++, CUDA, Python, and common Material Science tools.

Nice to have

• Knowledge of high-performance plane waves primitives response properties and high-throughput screening.
• Experience with high-performance accelerator algorithm implementation, runtime performance optimization, floating point emulation, and mixed precision libraries.

Pay

168,000 USD - 270,250 USD base salary (Level 4); 200,000 USD - 322,000 USD base salary (Level 5)

Tools

NVIDIA ALCHEMI, Fortran, C++, CUDA, Python

AI focus

Develop software and workflows that integrate AI surrogates with atomistic simulations for materials discovery.