Senior AI Solutions Architect for Research & Academia

NVIDIA; Reading; On-site; GBP 110,000 - 140,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect for the Greater London area to collaborate with academia and research partners. You will engage researchers and application developers to drive adoption of NVIDIA technology and work across the full platform, including GPUs, CPUs, networking, and software.

The role requires graduate STEM education, 5+ years in multimodal AI lifecycles on GPU clusters, and excellent communication in English.

Qualifications

• Graduate degree in a STEM field from a leading university.
• 5+ years in the multimodal and world model lifecycle on multi-node GPU systems.
• Strong collaboration and communication skills to engage with academics and researchers.
• Action oriented, analytical, self-motivated with strong organizational skills.
• Fluent in English and comfortable working in Python.

Responsibilities

• Partner with research labs, researchers, and university faculty as a trusted technical advisor.
• Identify and accelerate high-impact workloads by integrating NVIDIA frameworks and core software into research projects.
• Lead hands-on trainings, workshops, and demonstrations across NVIDIA platforms and mentor power users.
• Track emerging research trends and provide feedback to NVIDIA Engineering.
• Maintain deep domain expertise across GPUs, CPUs, networking, and software.

Skills

Multimodal AI

World model lifecycle

Python

Communication

Education

Graduate degree in STEM

Job description

NVIDIA is seeking a Solutions Architect for the Greater London area to collaborate with academia and research partners. You will engage researchers and application developers to drive adoption of NVIDIA technology and work across the full platform, including GPUs, CPUs, networking, and software.

The role requires graduate STEM education, 5+ years in multimodal AI lifecycles on GPU clusters, and excellent communication in English.