엔비디아(NVIDIA) - Solutions Architect - Semiconductor Simulation

회사 소개

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.

주요 업무

• 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 presenting at GTC.
• Continuously keep up with the latest technologies that not only NVIDIA but also the community researchers provide to the market.

자격요건

• 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.

우대사항

• 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.

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