Senior Solutions Architect, Higher Education and Research, Multimodal and Physical AI

As a Solutions Architect, you collaborate with leading labs and researchers to advance AI and accelerated computing at scale. You’ll translate scientific goals into NVIDIA-enabled solutions, helping researchers publish and present their work while shaping how NVIDIA’s stack supports multimodal and physical AI. You will deliver hands-on trainings and become a champion for NVIDIA platforms across academia. This role blends deep technical expertise with cross‑functional mentorship and field engagement to drive impactful research adoption.

• Partner with research labs and university researchers to understand scientific goals and drive joint, scalable research projects
• Identify high-impact workloads and integrate NVIDIA frameworks and core software into research workflows
• Deliver trainings, workshops, lectures, and demonstrations to promote accelerated computing and AI platforms
• Mentor power users to become NVIDIA champions and extend adoption
• Track emerging research trends and translate gaps into prototypical solutions and feedback to engineering
• Maintain broad expertise across GPUs, CPUs, networking, and software across the NVIDIA platform

• 5+ years in multimodal AI and world model lifecycle on multi-node GPU systems (video/image data at scale; pre-training/post-training; evaluation; efficient inference)
• Strong collaboration and communication skills with academic stakeholders; ability to explain complex concepts to diverse audiences
• Action-oriented, analytical, self-motivated with strong organizational skills in multi-tasked environments
• Fluency in English (spoken and written) and Python proficiency
• Graduate degree in STEM or equivalent experience

• collaboration
• clear communication
• adaptability
• Multimodal AI
• Physical AI
• accelerated computing