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Nvidia Senior Solutions Architect AI Factory 
France, Auvergne-Rhône-Alpes 
948589404

13.05.2025
France, Remote
Spain, Remote
Italy, Remote
time type
Full time
posted on
Posted 5 Days Ago
job requisition id

What you will be doing:

  • focusing on performance at scale, reliability, manageability, real-time monitoring, etc.

  • Interact with end-users in academia and industry,develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs.

  • Identify gaps and propose/develop prototypical solutions.

  • Demonstrate accelerated computing and AI workflows, deliver trainings using NVIDIA GPUs and software for AI research,groom power users to be NVIDIA champions e.g. as DLI Ambassadors.

  • Communicate customer requirements to NVIDIA Engineering to foster product improvements.

What we need to see:

  • 3+ years of research experience in Deep Learning with a track record of scientific publications

  • Experience with Large Language Models (LLM) training and adaptation, including knowledge of floating-point arithmetic at micro-scale

  • Passion for accelerated computing

  • A graduate degree from a leading university in a STEM related field

  • Action oriented with strong analytical skills

  • Strong organization and time management skills to work in a fast-pace multi-task environment

  • Self-motivated, independent, ability to work independently with minimal day-to-day direction

  • Significant experience in High-Performance Computing or Deep Learning

  • Strong collaboration and social skills, ability to communicate effectively with customers, and across organizations (Engineering, Sales, Support)

  • Experience with DL frameworks, multi-GPU computing, Generative AI

  • Fluent in English both oral and written

Ways to stand out from the crowd:

  • Experience with data curation pipeline at scale, data formats, filtering, cleaning

  • Experience working with EuroHPC-class supercomputers or tier-1 clouds at scale

  • Skilled at profiling, analyzing and optimizing code

  • Understanding of HPC system architecture inc. distributed computing, networking, parallel filesystems, cluster operations, workload schedulers, etc.

  • Experience working with NVIDIA technologies inc.NVAIE, NeMo, CUDA, NIM, etc.