Senior AI Solutions Architect

Job Summary

Supporting Materials Science and Chemistry accounts, the full-time Senior AI Solutions Architect will serve as a technical advisor to computational chemists and materials scientists, driving the adoption of NVIDIA's accelerated computing solutions in atomistic simulation and chemical-process engineering, while working remotely.

Key responsibilities

• Collaborate with Business Development and Sales teams to drive success across Materials Science & Chemistry accounts
• Engage directly with customers to help accelerate materials and chemistry workflows using NVIDIA technologies
• Deliver trainings and technical demonstrations on NVIDIA solutions and platforms

Required qualifications

• BS/MS/PhD in Materials Science, Chemistry, Chemical Engineering, or a related technical field
• 8+ years of experience in computational materials science or chemistry, including atomistic simulation and AI/ML applications
• Familiarity with materials/chemistry simulation tools and methods, such as DFT and molecular dynamics
• Proficiency in algorithm programming using Python and C/C++, with experience in GPU-accelerating workloads
• Development experience with major AI frameworks like PyTorch or TensorFlow for scientific machine learning