NVIDIA
Semiconductor
SolutionsArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect at NVIDIA. Skills: Accelerated computing, Semiconductor simulation, NVIDIA platform utilization, AI integration. Create fruitful technical engagements with design and manufacturing teams in key semiconductor companies. Lead strategic relationships with top developers and influential researchers”
Industry & Context.
Analyze key workloads; Find out the bottleneck that can be improved in latency or runtime perspectives
What They're Looking For.
Must Have
6+ years of experience with semiconductor designers/manufacturers or EDA ISVs, e. g. Samsung, SK hynix, Cadence, Synopsys, Siemens, ASML, KLA, TSMC, Intel, etc., A track record of developing meaningful semiconductor simulation applications using NVIDIA GPUs and CUDA., Experiences of trying to adopt AI into traditional semiconductor simulations., 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, Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models., Experience with NVIDIA products and SDKs: CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.
What You'll Do.
Create fruitful technical engagements with design and manufacturing teams in key semiconductor companies
Lead strategic relationships with top developers and influential researchers
Analyze key workloads in those teams
Find out the bottleneck that can be improved in latency or runtime perspectives
Help them integrate NVIDIA libraries into their workloads to accelerate them
Promote the results of the collaboration between NVIDIA and those teams
Continuously keep up with the latest technologies
How You'll Work.
Team & Collaboration
Lead strategic relationships with top developers and influential researchers; Collaborate with marketing teams; Work with design and manufacturing teams in key semiconductor companies
Communication Scope
World-class communication skills; 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. The Industrial Engineering organization is a strong, growing, and visible group both inside and outside of NVIDIA in this exciting area to drive strategy. We are looking for a self-starting leader to continue to grow this area. Do you thrive on technical engagement? Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you! **What you 'll be doing:** * Create fruitful technical engagements with design and manufacturing teams in key semiconductor companies in Korea and lead strategic relationships with top developers and influential researchers. * Analyze key workloads in those teams, find out the bottleneck that can be improved in latency or runtime perspectives, and help them integrate NVIDIA libraries into their workloads to accelerate them. * 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 technologies that not only NVIDIA but also the community researchers provide to the market. **What We Need To See:** * 6+ years of experience with semiconductor designers/manufacturers or EDA ISVs, e.g. Samsung, SK hynix, Cadence, Synopsys, Siemens, ASML, KLA, TSMC, Intel, etc. * A track record of developing meaningful semiconductor simulation applications using NVIDIA GPUs and CUDA. * Experiences
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