Solutions Architect - Industries and Top AI Labs job opportunity at NVIDIA.

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DateMore Than 30 Days Ago bot
NVIDIA Solutions Architect - Industries and Top AI Labs
Experience: 3-years
Pattern: full-time
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loacation China, Beijing, China
loacation China, Beijing....China

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with industry sales, developer relationship managers and product teams in the hiring position. What You’ll Be Doing: Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers. Assist in supporting industry accounts and driving research/influencing/new business in those accounts. Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team. Understand and analyze Top AI Labs customers' workloads and demands for accelerated computing, including but not limited to: LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc. Assist Top AI Laps customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, TensorRT-LLM, NeMo Framework , etc. Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications. Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.   What We Need To See: 3+ years’ experience with research/development/application of Machine Learning, data analytics, or computer vision work flows. Outstanding verbal and written communication skills Ability to work independently with minimal day-to-day direction Knowledge of industry application hotspots and trends in AI and large models. Familiarity with large model-related technology stacks and common inference/training optimization methods. C/C++/Python programming experience Desire to be involved in multiple diverse and innovative projects Experience using scale-out cloud and/or HPC architectures for parallel programming MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience.   Ways To Stand Out From The Crowd: AIGC/LLM/NLP experience CUDA optimization experience. Experience with Deep Learning frameworks and tools. Engineering experience in areas such as model acceleration and kernel optimization. Extensive experience designing and deploying large scale HPC and enterprise computing systems.

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