Senior AI Solutions Architect – Multimodal & HPC Research

NVIDIA Corporation; Reading; Hybrid; GBP 85,000 - 135,000; Full time

Job summary

NVIDIA Corporation is seeking a Solutions Architect to collaborate with leading research labs and academia in the Greater London area. You’ll drive joint research on multimodal AI, physical AI, and accelerated computing, translating researcher needs into scalable NVIDIA solutions across GPUs, CPUs, networking, and software.

The role requires deep technical knowledge, 5+ years in multimodal AI on multi-node GPU systems, and excellent communication to both expert and non-expert audiences.

Qualifications

• A graduate degree from a leading university in a STEM related discipline.
• PhD from a leading university in STEM is advantageous.
• 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 relate to academic researchers and explain complex ideas clearly.

Responsibilities

• Partner with research labs, researchers, and university faculty as a trusted technical advisor; understand scientific goals and drive joint research at supercomputing scale.
• Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks and core software in research projects; support publications and conferences.
• Advocate for accelerated computing, robotics, Multimodal AI and Physical AI; deliver trainings, workshops, and demonstrations; mentor power users to NVIDIA champions.
• Track emerging research trends and translate researcher needs into prototypical solutions; provide feedback to NVIDIA Engineering.
• Maintain deep domain expertise while staying versatile across NVIDIA's GPU/CPU, networking, and software platforms.

Skills

Multimodal AI

Python

Executive communication

Accelerated computing

Education

Graduate degree in STEM

PhD in STEM (advantage)

Tools

CUDA

CUDA-X

Megatron

NeMo Framework

TensorRT

MONAI

Cosmos world foundation models

Isaac robotics platform

Job description

NVIDIA Corporation is seeking a Solutions Architect to collaborate with leading research labs and academia in the Greater London area. You’ll drive joint research on multimodal AI, physical AI, and accelerated computing, translating researcher needs into scalable NVIDIA solutions across GPUs, CPUs, networking, and software.

The role requires deep technical knowledge, 5+ years in multimodal AI on multi-node GPU systems, and excellent communication to both expert and non-expert audiences.