Nvidia Solution Architect NCP Support 

China, Guangdong Province, Shenzhen 

318046349

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 technology

• Guide 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 teams

• Conducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions

• Building custom product demonstrations and POCs for solutions that address critical business needs of our customers

• Analyzing and solving compute/network performance issues

• Preparing and delivering technical training presentations and workshops

What 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 customers

• 3+ years of Solution Engineering (or similar Sales Engineering roles) experience

• Advance practical knowledge of GPU - Data Center topologies, CUDA, AI workload, Deep learning framework.

• System level understanding of server architecture, GPU cluster architecture,

• Parallel programming expertise

• Exposure to GPU technology and CUDA programming

• Prior experience with OpenMP, MPI and other parallel programming languages

• Experience working with supercomputing and technical computing customers

Ways to stand out from the crowd:

• Systems engineering, coding, and debugging skills including experience C/C++, Linux kernel and drivers

• CUDA optimization experience

• Specialty skills in large scale computing and cluster computing, machine learning, convolution neural networks

• Able to think creatively to debug and solve problems