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

NVIDIA Corporation; United States; Teletrabalho; USD 199 000 - 252 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Travel up to 30%

Resumo da oferta

NVIDIA Corporation in London is seeking a Solutions Architect to partner with leading research labs and academia, driving adoption of NVIDIA AI and HPC platforms. You will serve as a trusted technical advisor, translating research goals into actionable GPU-accelerated workloads across multi-node systems.

You will collaborate across researchers and engineers, deliver hands-on trainings, and stay at the frontier of large language model workflows, while traveling up to 30% to meet partners and

Qualificações

• Graduate degree in a STEM field from a leading university.
• 5+ years hands-on experience with large language model lifecycles across multi-node systems (training, fine-tuning, inference, serving).
• Strong collaboration and communication skills with academic/research stakeholders.
• Fluent in English (oral and written); proficient in Python.

Responsabilidades

• Partner with leading research labs, researchers and university faculty as a trusted technical advisor.
• Identify and accelerate workloads by integrating NVIDIA’s frameworks and core software into research projects.
• Advocate for accelerated computing and Deep Learning; deliver trainings, workshops, lectures, and demonstrations.
• Track emerging research trends and translate gaps into prototypical solutions for NVIDIA Engineering.
• Maintain deep domain expertise across GPUs, CPUs, networking, and software.

Conhecimentos

LLM lifecycle

Multi-node systems

Scientific collaboration

Python fluency

Public speaking

Formação académica

Master’s or PhD in STEM

Ferramentas

CUDA & CUDA-X

Megatron Bridge

TensorRT-LLM

Descrição da oferta de emprego

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. We are looking for a Solutions Architect in the Greater London area to work with academia and research partners. Solutions Architects are the primary technical contacts for our customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology. We seek an individual who combines an intricate understanding of modern AI and HPC research workloads with expertise in accelerated computing and architecture.

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.