NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities.NVIDIA is looking for a Senior Solutions Architect in Beijing/Shenzhen to provide comprehensive technical pre-sales support to CSP customers. The essential responsibility is showing values of NVIDIA products including hardware and software. The successful candidate will collaborate closely with To4, AE, Arch to ensure new products/solutions adoption.What you'll be doing:Work with Sales, BD and CPM team to introduce NVIDIA technologies into assigned accounts and grow business accordingly.Account owner to promote products to customers, and bring needs to R&D.Private or public workshops to illustrate and output NVIDIA’s offerings in details.Debugging, tuning, testing during qualification, POC, integration and pilot.Build good relationship with all levels of customers and become a trusted advisor.Discover opportunities and guide customers to suitable solution.Share knowledge across teams.What we need to see:B.S./M.S./Ph.D of Computer Science or equivalent engineering degree (or equivalent experience).5+ years of work-related experience in deep learning/AI, AI system design, DevOps, cloud software development or high-performance computing.Familiar with GPU/AI accelerators and ecosystems.Experience in Linux OS and performance issue debugging.Good understanding of the AI trends.Strong analytical and problem-solving skills.Excellent English communication skills.Hands-on ability is mandatory.Committed, independent, result-oriented.Ways to stand out from the crowd:AI application/frameworks/system development experienceLLM/CTR algorithm is helpfulCloud, k8s development/deployment experience