Senior AI & HPC Solutions Architect - Research Partnerships

NVIDIA; Reading; On-site; GBP 95,000 - 135,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect to engage with academia and research partners in the Greater London area. You will work as a trusted technical advisor, helping researchers scale AI workloads and adopting NVIDIA frameworks across multi-node systems.

You will lead technical partnerships, deliver hands-on trainings, and translate research needs into prototypical NVIDIA solutions. Travel about 30% is expected.

Qualifications

• A graduate degree from a leading university in a STEM related discipline.
• 5+ years of hands-on experience running the large language model lifecycle across multi-node systems: training, fine-tuning, inference, serving, and/or agentic workflows.
• 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 and Deep Learning, 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 o erings 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

LLM lifecycle

Multinode training

Python

Communication skills

Academic collaboration

Education

Graduate degree in STEM

PhD preferred

Tools

NVIDIA AI Enterprise

NeMo Framework

Megatron Bridge

NIM

TensorRT-LLM

Dynamo

NeMo Agent Toolkit

Triton Inference Server

Nemotron methodology

Job description

NVIDIA is seeking a Solutions Architect to engage with academia and research partners in the Greater London area. You will work as a trusted technical advisor, helping researchers scale AI workloads and adopting NVIDIA frameworks across multi-node systems.

You will lead technical partnerships, deliver hands-on trainings, and translate research needs into prototypical NVIDIA solutions. Travel about 30% is expected.