Job Summary:
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with their newest AI technology. The role involves collaborating with NVIDIA Cloud Partners to implement innovative hardware and software solutions, acting as the primary technical support for customers, and conducting technical meetings to discuss project details and new technologies.
Responsibilities:
• Collaborating with NVIDIA Cloud Partners to create, implement, and put into operation NVIDIA's innovative hardware and software solutions.
• Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.
• Act as the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through whole customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
• Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.
• Prepare and deliver technical content to customers including presentations, workshops, etc.
• Analyze and develop joint solutions for customer performance and scaling issues.
Qualifications:
Required:
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• Motivation and skills to own and drive technical engagements with customers throughout full customer life-cycle.
• 8+ years of Solutions Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.
• Experience crafting and deploying large-scale cluster environments.
• Practical expertise in data center design, development and execution for AI and HPC.
• Efficient time management and capable of balancing multiple tasks.
• Ability to communicate ideas clearly through documents, presentations, etc.
Preferred:
• Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings.
• Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager, etc.
• Familiarity with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more.
• Practical involvement in cluster administration and coordination (SLURM, K8s, etc.)
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.