Senior AI Research & HPC Solutions Architect

NVIDIA

Cambridge

On-site

GBP 90,000 - 130,000

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 act as a technical advisor and drive adoption of NVIDIA AI technology across research workloads.

Responsibilities include integrating NVIDIA frameworks, delivering trainings, and translating research needs into prototypical solutions with feedback to engineering. Travel about 30% is expected; strong collaboration and English proficiency are essential.

Qualifications

  • A graduate degree from a leading university in a STEM discipline.
  • 5+ years of hands-on experience with the LLM lifecycle across multi-node systems (training, fine-tuning, inference, serving).
  • Strong collaboration and communication with researchers and stakeholders.
  • Action oriented, analytical, self-motivated, and a passionate learner.
  • Fluent in English and comfortable working in Python.

Responsibilities

  • Partner with labs, researchers, and university faculty as a trusted technical advisor.
  • Integrate NVIDIA frameworks and core software into research projects.
  • Deliver hands-on trainings, workshops, and demonstrations across NVIDIA platforms.
  • Track research trends and provide feedback to NVIDIA Engineering.
  • Maintain deep expertise across GPUs, CPUs, networking, and software.

Skills

LLM lifecycle
Multi-node training
Python
English fluency
Deep learning

Education

Graduate degree in STEM
PhD in STEM (standout)

Tools

CUDA
CUDA-X
NeMo Framework
TensorRT-LLM

Job description

NVIDIA is seeking a Solutions Architect for the Greater London area to collaborate with academia and research partners. You will act as a technical advisor and drive adoption of NVIDIA AI technology across research workloads.

Responsibilities include integrating NVIDIA frameworks, delivering trainings, and translating research needs into prototypical solutions with feedback to engineering. Travel about 30% is expected; strong collaboration and English proficiency are essential.

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