NVIDIA is looking for an experienced GPU and systems infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a GPU compute and networking Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing applications including Deep Learning and Data analytics. As part of the NVIDIA Solution Architecture organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product strategy.
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
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!
