NVIDIA
AI
SolutionsArchitect-AITechnologyCenter
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect - AI Technology Center at NVIDIA. Skills: Solutions Architect, AI Technology, Scientific Applications, HPC, NVIDIA GPUs, NVIDIA software libraries, AI physics models. Analyze key scientific applications of top researchers from the universities or enterprises in Korea, understanding data type, input and output, workflow, runtime between CPU and GPU, proportion of MPI communications, etc.. Help them accelerate their applications by resolving the bottleneck that can be improved ”
What You'll Achieve.
catalyze the global research community; driving the adoption of NVIDIA's platform through high-impact, co-authored breakthroughs; shared pursuit of frontier AI discoveries; demonstrating the performance leap provided by the NVIDIA technology stack
Industry & Context.
problem-solving and debugging skills
What They're Looking For.
Must Have
PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience), Proven experience in managing complex technical projects and navigating corporate strategic goals, 5+ year hands-on experience in one or two of HPC fields, for example, electronic structure calculations, molecular dynamics, computational fluid dynamics, astrophysics, numerical weather prediction, or quantum computing, Experience with NVIDIA GPUs and software libraries, problem-solving and debugging skills, Excellent presentation, communication, and collaboration skills, written and oral communication skills in English
Nice to Have
Good track record of academic research publications, Experience working across academia, industry and the government, Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models
What You'll Do.
Analyze key scientific applications of top researchers from the universities or enterprises in Korea
understanding data type
runtime between CPU and GPU
proportion of MPI communications
Help them accelerate their applications by resolving the bottleneck that can be improved in latency or runtime perspectives using NVIDIA CUDA libraries and SDKs.
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.
Advise on the transition from experimental code to large-scale
production-ready research environments
demonstrating the performance leap provided by the NVIDIA technology stack.
How You'll Work.
Team & Collaboration
act as elite research partners; driving the adoption of NVIDIA's platform through high-impact, co-authored breakthroughs; work on exciting projects and proof-of-concepts dedicated to HPC applications; work in an interdisciplinary team; collaboration skills; working across academia, industry and the government
Communication Scope
Excellent presentation, communication, and collaboration skills; written and oral communication skills in English
Process & Methodology
managing complex technical projects
Full Job Description
NVIDIA AI Technology Center is seeking outstanding Senior Solutions Architects to catalyze the global research community by embedding NVIDIA as a core scientific collaborator. We move beyond standard technical support to act as elite research partners, driving the adoption of NVIDIA's platform through high-impact, co-authored breakthroughs and the shared pursuit of frontier AI discoveries. Primary focus on scientific application engagements with researchers and developers at our key partner researcher from universities and joint labs. You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts dedicated to HPC applications. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA! **What you will be doing:** * Analyze key scientific applications of top researchers from the universities or enterprises in Korea, understanding data type, input and output, workflow, runtime between CPU and GPU, proportion of MPI communications, etc. * Help them accelerate their applications by resolving the bottleneck that can be improved in latency or runtime perspectives using NVIDIA CUDA libraries and SDKs. * 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. * Advise on the transition from experimental code to large-scale, production-ready research environments, demonstrating the performance leap provided by the NVIDIA technology stack. **What we need to see:** * PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) * Proven experience in managing complex technical projects and navigating corporate strategic goals * 5+ year hands-on experience in one or two of HPC fields, for example, electronic structure calculations, molecular dynamics, computational
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