Nvidia Senior Solutions Architect AI Factory 

France, Auvergne-Rhône-Alpes 

948589404

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.