Nvidia
AI
SolutionsArchitect,Pre-trainingandPost-training
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect, Pre-training and Post-training at Nvidia. Skills: AI model lifecycle, pre-training, post-training, optimization, evaluation, software engineering skills, communication skills. Create fruitful technical engagements with AI development teams in frontier model makers in Korea and lead strategic relationships with top developers and influential researchers. Help them develop AI models more efficiently by proposing state-of-the-art training and optimization frameworks”
Industry & Context.
solving the world's most challenging problems; solve hard problems in customizing and deploying AI workloads at scale
What They're Looking For.
Must Have
5+ years of hands-on experience in full AI model lifecycle, including pre-training, supervised fine-tuning, post-training such as reinforcement learning, optimization, and evaluation, software engineering skills, including debugging, performance analysis, and test development, World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences, MS/PhD in Computer Science or Engineering or equivalent experience
Nice to Have
Excellent English communication skills, Understanding of infrastructure factors that can affect AI model development such as GPU architecture, server block diagram, or networking bandwidth among GPU servers or between GPU servers and shared storage
What You'll Do.
Create fruitful technical engagements with AI development teams in frontier model makers in Korea and lead strategic relationships with top developers and influential researchers
Help them develop AI models more efficiently by proposing state-of-the-art training and optimization frameworks
Promote the results of the collaboration between NVIDIA and those teams with the support of marketing teams by publishing press releases and celebrate together by presenting them at GTC
Continuously keep up with the latest AI training and optimization technologies that not only NVIDIA but also the community researchers provide to the market
How You'll Work.
Team & Collaboration
work closely with customers and partners to solve hard problems in customizing and deploying AI workloads at scale; Create fruitful technical engagements with AI development teams in frontier model makers in Korea and lead strategic relationships with top developers and influential researchers; Promote the results of the collaboration between NVIDIA and those teams with the support of marketing teams
Communication Scope
World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences; Excellent English communication skills
Full Job Description
At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for passionate technologists with software and hardware. In this Solutions Architect role, you will help researchers and developers accelerating their key workloads by using NVIDIA platform. You'll define and deliver strategic partnerships, lead fruitful technical collaborations, provide first-line technical expertise and developer support, and guide NVIDIA's product strategy. If you are passionate about AI and how it can be applied to address real-world problems, we should talk. NVIDIA is the world leader in GPU accelerated computing and AI and is looking for developers like you to design and build enterprise AI solutions using our newest technology. As a member of the Solution Architect team, you will work closely with customers and partners to solve hard problems in customizing and deploying AI workloads at scale. **What you 'll be doing:** * Create fruitful technical engagements with AI development teams in frontier model makers in Korea and lead strategic relationships with top developers and influential researchers. * Help them develop AI models more efficiently by proposing state-of-the-art training and optimization frameworks including Megatron-LM, Megatron-Bridge, NeMo-RL, NeMo-Gym, TensorRT Model Optimizer, and TensorRT-LLM. * Promote the results of the collaboration between NVIDIA and those teams with the support of marketing teams by publishing press releases and celebrate together by presenting them at GTC. * Continuously keep up with the latest AI training and optimization technologies that not only NVIDIA but also the community researchers provide to the market. **What We Need To See:** * 5+ years of hands-on experience in full AI model lifecycle, including pre-training, supervised fine-tuning, post-training such as reinforcement learning, optimization, and evaluation. * Strong software engineering skills, including debugging
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