Senior Solutions Architect, Industry Customer Success and Partnership – NVIS

Why consider this job opportunity

• Base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5
• Eligible for equity and benefits
• Opportunity to work with cutting‑edge technology in AI and HPC systems
• Collaborate with top‑tier professionals in a diverse and innovative environment
• Chance to engage with major cloud partners and drive significant business initiatives
• Work in a dynamic, customer‑focused team that values interpersonal skills

• Engage with NVIDIA Cloud Partners to drive initiatives and cultivate collaborations in AI
• Identify and pursue new business opportunities for NVIDIA products in data centers and AI applications
• Serve as a technical specialist for GPU and networking products, collaborating with sales account managers
• Conduct regular technical customer meetings to discuss project roadmaps and introduce new technology solutions
• Manage technical project aspects of complex data center deployments and respond to RFP/RFI proposals

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields with at least 8 years of work or research experience
• Minimum 8+ years of Solution Architect or similar Sales Engineering experience
• Deep expertise in data center engineering, GPU, and networking, including network topologies and server/storage architecture
• Proficiency in system‑level aspects including Operating Systems, Linux kernel drivers, GPUs, and hardware architecture
• Demonstrated expertise in cloud orchestration software and job schedulers, such as Kubernetes and Docker Swarm

• Knowledge in Infini Band and AI infrastructure
• Hands‑on experience with NVIDIA systems/SDKs (e.g., CUDA) and NVIDIA networking technologies
• Familiarity with Dev Ops/MLOps technologies such as Docker and Kubernetes
• Experience in large‑scale systems management
• Python programming experience and AI workflow development would be advantageous

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