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. Your responsibilities will include enabling 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 enable this innovation.
Engaging with developers, researchers, data scientists, IT managers, and senior leaders internally and externally is an essential part of the Solutions Architect role 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, and wiki articles to simply 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. You are empowered to find the best way to get your job done and make our customers successful.

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.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Solution Architect – Computational Chemistry, Material Science

Key skills