Senior AI Solutions Architect for Multimodal Research

NVIDIA; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

NVIDIA in London is seeking a Solutions Architect to work with academia and research partners. You will serve as the primary technical contact, driving the adoption of NVIDIA technologies in multimodal AI and physical AI applications.

You will partner with labs and researchers to understand scientific goals, integrate NVIDIA’s frameworks, and deliver hands-on trainings and demonstrations while mentoring power users.

Qualifications

• Graduate degree in a STEM discipline.
• 5+ years in multimodal and world model lifecycle on multi-node GPU systems.
• Strong collaboration and communication with academic stakeholders.
• Fluent English, both oral and written; proficient in Python.

Responsibilities

• Partner with research labs, researchers and university faculty as a trusted technical advisor.
• Integrate NVIDIA frameworks and core software into research projects and amplify impact via publications and talks.
• Deliver hands-on trainings, workshops, lectures and demonstrations across NVIDIA platforms and mentor power users.
• Turn research gaps into prototypical solutions and provide direct feedback to NVIDIA Engineering.
• Maintain deep domain expertise while staying versatile across GPUs, CPUs, networking and software.

Skills

Multimodal AI

Academic collaboration

Python

Communication

Education

Master's degree in STEM

PhD preferred

Tools

CUDA

CUDA-X

Megatron-LM

TensorRT

Job description

NVIDIA in London is seeking a Solutions Architect to work with academia and research partners. You will serve as the primary technical contact, driving the adoption of NVIDIA technologies in multimodal AI and physical AI applications.

You will partner with labs and researchers to understand scientific goals, integrate NVIDIA’s frameworks, and deliver hands-on trainings and demonstrations while mentoring power users.