Senior Solutions Architect, Higher Education and Research - Open Models and LLM

NVIDIA Corporation; United Kingdom; Remote; GBP 110,000 - 150,000; Full time

Job summary

NVIDIA Corporation in the United Kingdom seeks an experienced Solutions Architect to drive large language model workflows, collaborate with researchers, and scale AI research across multi-node systems.

You will integrate NVIDIA CUDA/CUDA-X libraries, provide hands-on trainings, and mentor teams while traveling up to 30% to ensure customers achieve success. This role demands strong collaboration and deep domain expertise.

Qualifications

• 5+ years hands-on experience running large language model lifecycles across multi-node systems (training, fine-tuning, inference, serving).
• Excellent communication to connect researchers and engineers with non-expert audiences.
• Fluent English, strong organizational skills, and Python proficiency.

Responsibilities

• Partner with research labs and university faculty as a trusted technical advisor.
• Integrate NVIDIA frameworks and core software stack into research projects.
• Deliver trainings, workshops, and demonstrations across NVIDIA platforms; mentor power users.
• Turn research gaps into prototypical solutions and provide direct feedback to NVIDIA Engineering.

Skills

Hands-on experience

Fluent English

Python

Stakeholder engagement

Education

Graduate degree in STEM

Tools

CUDA

CUDA-X libraries

NVIDIA AI Enterprise

NeMo Framework

Megatron Bridge

NIM

TensorRT-LLM

Dynamo

NeMo Agent Toolkit

Triton Inference Server

Nemotron open-model methodology

Job description

NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, we are tapping into the unlimited potential of AI to define the next era of computing. Doing what has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is encouraged to do their best work and make a lasting impact on the world.

What you will be doing:

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

What we need to see:

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.

Ways to stand out from the crowd:

A PhD from a leading university in a STEM related discipline, with 3+ years of research on large language models or foundation models and their applications. A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures. Experience with NVIDIA's AI software stack, powered by CUDA and CUDA-X libraries, e.g. NVIDIA AI Enterprise, NeMo Framework, Megatron Bridge, NIM, TensorRT-LLM, Dynamo, NeMo Agent Toolkit, and Triton Inference Server, as well as the Nemotron open-model methodology.

As a Solutions Architect, there is travel involved (30% of the working time), as often the best way to figure things out is a face-to-face meeting, but the job is not life on the road. We make heavy use of conferencing tools, and you are empowered to figure out how to get the job done and do what it takes to make our customers successful.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.