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

In this role you work as a technical advisor to research labs and academia, shaping the adoption of NVIDIA technology for HPC and AI. You will help researchers scale workloads, integrate NVIDIA frameworks, and contribute to publications and talks. You’ll lead hands-on trainings and mentor power users, while translating research needs into prototypical NVIDIA solutions. This position blends deep domain expertise with cross‑platform knowledge to accelerate scientific discovery.

• Partner with researchers and university faculty to understand goals and drive joint research at supercomputing scale
• Identify high-impact workloads and integrate NVIDIA frameworks and software into research projects
• Deliver trainings, workshops, lectures, and demonstrations; mentor power users to become NVIDIA champions
• Translate researcher needs into prototypical solutions and provide direct feedback to NVIDIA Engineering
• Maintain deep domain expertise while staying versatile across GPUs, CPUs, networking, and software

• Graduate degree in STEM or equivalent experience
• 5+ years in HPC and AI at scale on multi-node GPU systems
• Strong collaboration and communication skills with academic and research stakeholders
• Fluent in English and comfortable with Python
• Action-oriented, analytical, self-motivated, well-organized in a multi-task environment

• collaboration
• communication
• relationship-building
• HPC and AI workloads at scale
• multi-node GPU systems
• Python