Solutions Architect - AI Networking and Storage
NVIDIA
NVIDIA is seeking outstanding Solutions Architects to assist and support OEM customers in building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Enterprise AI solutions. You should be comfortable working in a multifaceted environment and have experience with the storage and networking demands for Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA! What You Will Be Doing: Closely coordinate with the OEM Global Account Managers (GAMs) in order to work on prioritized customer platforms, software stacks and solutions that map to critical business priorities Work with OEM partners to architect enterprise grade storage solutions with a focus on scalable performance and data durability Training OEM technologists and field specialists on AI storage and networking solution offerings from NVIDIA. Work as a key member of our OEM team as a technical authority on NVIDIA products Some travel to conferences and customers may be required (20%) What We Need To See: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) 8+ Years proven experience as a solution architect or technical presales role Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions Hands-on experience with high-performance storage systems: Lustre, GPFS, Ceph, distributed object storage, enterprise SAN/NAS E...
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