We are now looking for an outstanding Deep Learning Solution Architect to join our team. The team’s main responsibility is to support our major CSP customers in China and to make sure customers’ AI applications run efficiently on NVIDIA platforms.

　　What you’ll be doing:

　　Assist field 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

　　Be an industry thought leader on integrating NVIDIA technology into HPC architectures to support Scientific and engineering applications

　　Be an internal champion for Deep Learning or Data Science among the NVIDIA 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

　　Experience working with modern Deep Learning software architecture and application

　　Customer facing skill-set and background as well as the ability to communicate effectively with customers

　　C programming experience

　　Parallel programming expertise

　　Exposure to GPU technology and CUDA programming

　　Prior experience with OpenMP, MPI and other parallel programming languages

　　Strong teamwork and interpersonal skills; able to multitask in a fast paced environment

　　Expert 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

　　Education research, Gov. funded research experience

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .