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 combine an intricate understanding of high-performance computing and scientific computing, and of how AI methods are reshaping both, with expertise in accelerated computing and architecture.

Responsibilities:

• Partner directly 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, and help researchers amplify their impact through publications, conference presentations, and technical content.
• Advocate for accelerated computing and AI methods for scientific discovery, and deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions.
• Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering.
• Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software.

Requirements:

• A 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 and applying machine learning to the same problems.
• Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders, and to communicate complex ideas clearly to both expert and non-expert audiences.
• Action oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment.
• Fluent in English, both oral and written, and comfortable working in Python.

Nice to Have:

• A PhD from a leading university in a STEM related discipline, with 3+ years of research in computational science in combination with AI.
• A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures.