Solutions Architect - Multimodal AI & Accelerated Computing

NVIDIA Corporation; Reading; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

NVIDIA Corporation in the Greater London area seeks an experienced Solutions Architect to collaborate with academia and research partners, driving adoption of NVIDIA technology across multimodal AI and physical AI domains. You will engage researchers, translate needs into prototypes, and deliver hands-on training across the NVIDIA stack.

The role requires leadership in research-driven projects, strong communication with academic stakeholders, and fluency in English with Python proficiency.

Qualifications

• Graduate degree in STEM.
• 5+ years in multimodal AI lifecycle on multi-node GPU systems.
• Strong collaboration and communication with researchers and stakeholders.
• Action oriented, analytical, self-motivated, and well-organized in a multi-tasked environment.
• Fluent in English and comfortable with Python.

Responsibilities

• Partner with leading labs, researchers, and university faculty as a technical advisor to drive joint research at supercomputing scale.
• Integrate NVIDIA frameworks and core software into research projects and help publish results.
• Deliver hands-on trainings, workshops, and demonstrations across NVIDIA platforms and mentor power users.
• Identify gaps between researcher needs and NVIDIA offerings and propose prototypical solutions.
• Maintain deep expertise across GPUs, CPUs, networking, and software.

Skills

Multimodal AI

World model lifecycle

Python

Research collaboration

Education

Graduate degree in STEM

PhD preferred

Tools

CUDA

Megatron

TensorRT

NeMo Framework

Job description

NVIDIA Corporation in the Greater London area seeks an experienced Solutions Architect to collaborate with academia and research partners, driving adoption of NVIDIA technology across multimodal AI and physical AI domains. You will engage researchers, translate needs into prototypes, and deliver hands-on training across the NVIDIA stack.

The role requires leadership in research-driven projects, strong communication with academic stakeholders, and fluency in English with Python proficiency.