Senior Solutions Architect - Industry Customer Success and Partnership

November 8

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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 our cloud solutions. • Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams. • 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. • Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, and a customer-focused mentality, coupled with good organization skills, a logical approach to problem-solving and effective time management for handling concurrent requests. • Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals.

Requirements

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years 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.