AI Research Solutions Architect – Academic Partnerships

NVIDIA AI

Cambridge

On-site

GBP 110,000 - 170,000

Full time

14 days+

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Job summary

NVIDIA is seeking a Solutions Architect for the Greater London area to collaborate with academia and research partners. You will be the primary technical contact, driving adoption of NVIDIA technology in AI and HPC workloads.

The role requires deep expertise in the LLM lifecycle across multi-node systems, strong collaboration skills, and proficiency in Python. Travel is ~30% for face-to-face engagements, with heavy conferencing tools enabling remote collaboration.

Qualifications

  • Graduate degree in a STEM discipline.

Responsibilities

  • Partner with researchers and university labs to drive joint research projects at supercomputing scale.
  • Identify and accelerate high-impact workloads by integrating NVIDIA frameworks and core software into research.
  • Deliver hands-on trainings, workshops, lectures, and demonstrations across NVIDIA platforms.
  • Turn research gaps into prototypical solutions and provide feedback to NVIDIA Engineering.
  • Maintain deep domain expertise across GPUs, CPUs, networking and software.

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

Job description

NVIDIA is seeking a Solutions Architect for the Greater London area to collaborate with academia and research partners. You will be the primary technical contact, driving adoption of NVIDIA technology in AI and HPC workloads.

The role requires deep expertise in the LLM lifecycle across multi-node systems, strong collaboration skills, and proficiency in Python. Travel is ~30% for face-to-face engagements, with heavy conferencing tools enabling remote collaboration.

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