Senior AI Solutions Architect - Materials Science and Chemistry
Tasks
- Advise customers on AI solutions
- Analyze simulation application architectures for performance improvements
- Apply physics informed machine learning and surrogate modeling
- Deliver technical trainings and demonstrations
- Design and prototype AI ML based solutions for customers
- Develop AI and domain adapted LLM applications for materials and chemistry
- GPU accelerate materials and chemistry workflows
Perks/Benefits
- N/A
Skills/Tech-stack
ALCEMI | Allegro | C++ | CUDA | Computational Fluid Dynamics | Containers | Density Functional Theory | Distributed Training | Docker | Equivariant Neural Networks | Fluid Dynamics | GROMACS | Gaussian | Generative Models | Git | GitHub | Graph Neural Networks | HPC | High Throughput | High Throughput Screening | Interatomic potentials | Knowledge Retrieval | Kubernetes | LAMMPS | LLM Applications | LLMs | Large-scale | Large-scale inference | MACE | Machine Learning | Molecular Dynamics | Monte Carlo | NequIP | Neural Networks | Physics Based Process Simulation | Physics Informed Neural Networks | PhysicsNeMo | Process Simulation | PyTorch | Python | Quantum Chemistry | Quantum Espresso | RAG | Reaction Transport Simulation | Slurm | Surrogate modeling | TensorFlow | Transport simulation | VASP
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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