Deep Learning Solution Architect

We are looking for an accomplished, hardworking individual to join our Solutions Architect team. Our team will mainly support data center products and work with top consumer internet companies in China. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies deployed in data centers. Deep Learning Solution architect solves customers' problems with their engineering teams, and helping them build a successful NVIDIA practice.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 in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable.2-8+ years of Deep Learning experienceExperience working with modern Deep Learning software architecture and applicationCustomer facing skill-set and backgroundC++ programming experienceExposure to GPU technology and CUDA programmingExperience with Caffe, Theano, ConvNet or other Deep Learning FrameworkAbility to communicate effectively with customersStrong teamwork and interpersonal skillsAbility to multitask in a fast paced environmentSuccessfully manage multiple accounts during implementation of new technology and products into very complex projectsWays to stand out from the crowd:CUDA optimization experienceSpecialty skills in large scale computing and cluster computing, machine learning, convolution neural networksExperience with OpenMP, MPI and other parallel programming languagesNVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!#deeplearning