Solution Architect – Computational Chemistry and Material Science

Solution Architect – Computational Chemistry and Material Science

Join our team as a Solutions Architect in EMEA, where you will collaborate with Consumer‑Packaged Goods (CPG) and Material Science customers focusing on the ground‑breaking potential of AI for computational chemistry and material science. At NVIDIA, we have a group of exceptional developers and scientists who thrive on working with the latest GPU hardware and software. Our platform for ML/AI and high‑performance computing has already had a significant impact on the industry, serving leading CPG companies, ISVs, and start‑ups.

We are seeking an enthusiastic individual to join us in exploring new opportunities in the AI‑powered revolution in the field of computational chemistry. As a Solution Architect, you will work as a trusted technical advisor to our customers, who envision accelerated computing and artificial intelligence as a transformative force in their field. Join us on this thrilling journey and advance your career while empowering top organizations and institutions worldwide.

• Guide customers through the end‑to‑end process of AI adoption—from requirements gathering and proof‑of‑concept development to deployment, integration, benchmarking and ongoing optimization.
• Collaborate with our business/account team to identify technical needs, customer goals, and strategies. Enable customer adoption of NVIDIA technology by mapping our solutions to their use cases and driving positive relationships with our technology partners, making NVIDIA an integral part of end‑user solutions.
• Keep up to date on AI advancements in the domain including AI techniques, foundation models for material science and computational chemistry, as well as relevant NVIDIA technology that enables this innovation.
• Engage with developers, researchers, data scientists, IT managers, and senior leaders internally and externally to gain experience in various technical areas.
• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, wiki articles, or working through hard problems with a customer on a whiteboard.
• We make heavy use of conferencing tools, but some travel is required for this role.

• MS or PhD (or equivalent experience) in Computer Science, Computational Chemistry, Material Science or Computational Physics, or related fields with strong applied experience in these domains.
• 5+ years of work‑related experience with hands‑on expertise in AI/ML for chemistry or Material sciences.
• Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework) and application to scientific questions.
• Strong time‑management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
• Motivated self‑starter with an equal balance of strong problem‑solving skills and customer‑facing communication skills—especially in effectively presenting complex technical information. Must enjoy engaging with innovative individuals, continuous learning, and staying at the forefront of the field.

• Experience building, deploying, and optimizing AI systems for chemistry and materials science end‑to‑end including data ingestion, preprocessing, model training, pipeline deployment and evaluation, especially for scientific software vendors and data platforms.
• Hands‑on experience with CUDA and PyTorch.
• Experience developing or using Machine Learning Interatomic Potential (MLIP) models for chemical and materials discovery.
• Working knowledge running MD and DFT simulations.
• Familiarity with Graph Neural Networks (GNNs) for property prediction of molecules, polymers, and formulations, and experience in the CSP industry or established thought leadership through publications or presentations on AI/ML applications in Chemistry and Materials Science.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Mid‑Senior level

Full‑time

Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing