AI Research Architect for Multimodal & Accelerated Computing

NVIDIA AI; Reading; On-site; GBP 120,000 - 160,000; Full time

Job summary

NVIDIA in London is seeking a Solutions Architect to collaborate with academia and research partners in the Greater London area. You will act as a primary technical contact, engaging researchers and developers to drive adoption of NVIDIA technology across multimodal AI and accelerated computing domains.

You will partner with leading labs, accelerate workloads, deliver hands-on trainings, and provide expert guidance on the full NVIDIA platform, including GPUs, CPUs, networking, and software.

Qualifications

• A graduate degree from a leading university in a STEM related discipline.
• 5+ years in the multimodal and world model lifecycle on multi-node GPU systems: video and image data curation at scale, pre-training and post-training, evaluation, and efficient inference.
• Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders, and to communicate complex ideas clearly to both expert and non-expert audiences.
• Action oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment.
• Fluent in English, both oral and written, and comfortable working in Python.

Responsibilities

• Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor: develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.
• Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects, and help researchers amplify their impact through publications, conference presentations, and technical content.
• Advocate for accelerated computing, robotics, Multimodal AI and Physical AI, and deliver hands‑on trainings, workshops, lectures and demonstrations across NVIDIA's platforms, and mentor power users to become NVIDIA champions.
• Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering.
• Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software.

Skills

Multimodal AI

Python

Academic collaboration

Communication

Public speaking

Education

Graduate degree in STEM

PhD preferred

Tools

CUDA/CUDA-X

Megatron

TensorRT

NeMo Framework

Job description

NVIDIA in London is seeking a Solutions Architect to collaborate with academia and research partners in the Greater London area. You will act as a primary technical contact, engaging researchers and developers to drive adoption of NVIDIA technology across multimodal AI and accelerated computing domains.

You will partner with leading labs, accelerate workloads, deliver hands-on trainings, and provide expert guidance on the full NVIDIA platform, including GPUs, CPUs, networking, and software.