Solution Architect, NCP Support

NVIDIA is looking for an experienced GPU and systems infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a GPU compute and networking Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing applications including Deep Learning and Data analytics. As part of the NVIDIA Solution Architecture organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product strategy.What you will be doing:Assist NCP business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting customer in building innovative solutions based on NVIDIA technologyGuide and help customers build GPU cluster systems that comply with NCP RA. try to build a end to end NVIDIA solutions, from infrastructure, system management, schedule, SDK and LLM training/inference. Identifying new business/project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Engineering, Product management and Sales teamsConducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutionsBuilding custom product demonstrations and POCs for solutions that address critical business needs of our customersAnalyzing and solving compute/network performance issuesPreparing and delivering technical training presentations and workshopsWhat we need to see:BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.This role is for an individual with the motivation and skills to drive the technical pre-sales process.Customer facing skill-set and background as well as the ability to communicate effectively with customers3+ years of Solution Engineering (or similar Sales Engineering roles) experienceAdvance practical knowledge of GPU - Data Center topologies, CUDA, AI workload, Deep learning framework.System level understanding of server architecture, GPU cluster architecture, Parallel programming expertiseExposure to GPU technology and CUDA programmingPrior experience with OpenMP, MPI and other parallel programming languagesExperience working with supercomputing and technical computing customersWays to stand out from the crowd:Systems engineering, coding, and debugging skills including experience C/C++, Linux kernel and driversCUDA optimization experienceSpecialty skills in large scale computing and cluster computing, machine learning, convolution neural networksAble to think creatively to debug and solve problemsNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!