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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.
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