Senior Solutions Architect - Industry Customer Success and Partnership

October 25

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of cloud solutions. • Identify and pursue new business opportunities for NVIDIA products and technology solutions in data centers and artificial intelligence applications. • Serve as a technical specialist for GPU and networking products, collaborating closely with sales account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts. • Conduct regular technical customer meetings to discuss project and product roadmaps, features, and introduce new technology solutions. • Develop custom product demonstrations and Proof of Concepts (POCs) addressing critical business needs, supporting sales efforts. • Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals. • Worldwide travel is required for on-site visits with customers.

Requirements

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields with at least 8 years of work or research experience in networking fundamentals, TCP/IP stack, and data center architecture. • Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating motivation and skills to drive the technical pre-sales process. • Deep expertise in datacenter engineering, GPU, networking, including a solid understanding of network topologies, server and storage architecture. • Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture. • Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm. • Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential. • Knowledge in InfiniBand and Artificial Intelligence infrastructure is a plus. • Demonstrated hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development. • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments is advantageous. • Experience with Python programming and AI workflow development and deployment (training/inference) would be advantageous.

Benefits

• Eligible for equity and benefits