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 experience
Experience working with modern Deep Learning software architecture and application
Customer facing skill-set and background
C++ programming experience
Exposure to GPU technology and CUDA programming
Ability to communicate effectively with customers
Strong teamwork and interpersonal skills
Ability to multitask in a fast paced environment
Successfully manage 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
Experience with OpenMP, MPI and other parallel programming languages
NVIDIA 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!
#deeplearningLast updated: 23 hours ago
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