Senior Solutions Architect, Higher Education and Research, AI and HPC

NVIDIA is seeking a Senior Solutions Architect to work with academia and research partners. The ideal candidate will have an intricate understanding of high-performance computing and scientific computing, as well as expertise in accelerated computing and architecture.

Responsibilities:

• Partner with leading research labs, researchers, and university faculty as a trusted technical advisor
• Develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale
• Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects
• Advocate for accelerated computing and AI methods for scientific discovery
• Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms
• Mentor power users to become NVIDIA champions
• Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions

Requirements:

• Graduate degree from a leading university in a STEM related discipline or equivalent experience
• 5+ years in the intersection of HPC and AI, running scientific workloads at scale on multi-node GPU systems
• Strong collaboration and communication skills
• Fluent in English, both oral and written, and comfortable working in Python

Preferred Qualifications:

• PhD from a leading university in a STEM related discipline
• Track record of thought leadership: high-impact publications, talks at academic conferences and workshops