Solution Architect – Computational Chemistry and Material Science

This role is based in multiple locations including UK (Remote), France, Switzerland, Netherlands (Remote), and Germany.

What you'll do:

• Guide customers through the AI adoption process from requirements gathering to deployment and optimization.
• Collaborate with business teams to identify technical needs and drive customer adoption of NVIDIA technology.
• Stay updated on AI advancements in computational chemistry and material science.
• Engage with developers and researchers to gain experience in various technical areas.
• Document knowledge and provide training for partners and colleagues.

What we need to see:

• MS or PhD in Computer Science, Computational Chemistry, Material Science, or related fields.
• 5+ years of experience in AI/ML for chemistry or material sciences.
• Proficient in Python and AI/ML frameworks like PyTorch.
• Strong problem-solving and communication skills.

Ways to stand out:

• Experience with building and optimizing AI systems for chemistry and materials science.
• Hands-on experience with CUDA and PyTorch.
• Familiarity with Graph Neural Networks (GNNs) and MD/DFT simulations.