Job Information
Nvidia Solution Architect - CSP Cloud in Beijing, China
NVIDIA is looking for an outstanding CSP Cloud Solution Architect focused on our major CSP customers in China (Baidu, Alibaba, Tencent). As part of the NVIDIA Solution Architecture organization, you will work with CSP cloud products and industry solution team and drive end-to-end technology solutions integration with CSP cloud solution, and make sure key customers’ AI/Data science/HPC related application workload adopt and run efficiently on NVIDIA accelerated computing platforms.
What you’ll be doing:
Assist NVIDIA CSP business development team, work with CSP cloud products and industry/regional solutions and their key customers, assisting customers in building innovative solutions based on NVIDIA technology.
Be an industry thought leader on integrating NVIDIA technology into CSP cloud products and key industry customers’ core AI/Data science/HPC workload. Develop industry solution understanding lead architecture/pipeline analysis to assist customers build NVIDIA’s accelerated computing technology integration solution.
Build NVIDIA’s solution reference for key Cloud customers workload and assist on driving cloud/customer SA/Engineer ecosystem to help broader cloud workload adoption and NVIDIA’s accelerated computing platform promotion in cloud industry customers.
Be an internal/external solution and technology champion for strategic CSP customers’ Deep Learning or Data Science workload among the NVIDIA/CSP accelerated computing industry solution technical community.
What we need to see:
BS or equivalent experience in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable
5+ years of Deep Learning experience
Rich experiencing in application architecture analysis and design, with effective communication and presentation skills.
Customer facing skill-set and background as well as the ability to communicate effectively with customers.
Experience working with modern Deep Learning software architecture and accelerated computing software/framework, Practical knowledge of Parallel programming, GPU technology and CUDA programming.
C++/python programming experience
Experience working with supercomputing and technical computing customers
Strong teamwork and interpersonal skills; able to multitask in a fast paced environment
Strong analytical and problem solving skills
Ability to balance multiple accounts during implementation of new technology and products into very complex projects
Ways to stand out from the crowd:
CUDA optimization experience
Specialty skills in large scale computing and cluster computing, machine learning, convolution neural networks
Internet AI application, Education research, Gov. funded research, HPC experience