Senior Application Engineer

Requirements:

• Degree in Chemistry, Material Science or related field (Ph.D. or Masters preferred) or equivalent experience.
• 4+ years of experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.
• Proven ability to benchmark and compare domain-specific AI Models for Materials discovery.
• Strong written and oral communication skills with the ability to effectively articulate the value proposition to technical and non-technical audiences.

Ways to stand out from the crowd:

• Experience with using AI frameworks e.g PyTorch, JAX.
• Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.
• Knowledge about NV GPU and CUDA-X libraries.

What you will be doing:

• Work directly with developers and researchers who are building, fine-tuning or optimizing AI models for Chemistry and Material discovery.
• Collaborate with publishers of open-source applications, datasets, frameworks used for AI Driven Chemical and Materials discovery and display their ability to use NVIDIA ALCHEMI.
• Profile, benchmark and suggest optimization strategies to developers building AI models and Agentic AI workflows for discovering novel materials and formulations.
• Present at workshops as the domain expert.