Nvidia
Technology
SeniorSolutionsArchitect,CustomerSuccess
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Solutions Architect, Customer Success at Nvidia. Skills: AI infrastructure, GPU systems, Data center architecture, Customer success. Serve as senior technical authority. Act as trusted consultant”
Industry & Context.
Analytical skills; Problem-solving skills; Root cause analysis; Continuous improvement
25% travel
What They're Looking For.
Must Have
BS/MS/PhD or equivalent experience, 10+ years of professional experience, Large-scale data center service operations experience, Infrastructure focus, NVIDIA GPU expertise, Deploying, configuring, optimizing NVIDIA GPU-accelerated infrastructure, Driver and firmware management, CUDA toolkit integration, GPU workload profiling and fix, Building long-term customer relationships, Driving adoption through consultative engagement, Analytical and decision-making capabilities, Identify root causes, Drive continuous improvement, Deliver resilient technical solutions, End-to-end data center architecture expertise, Operating systems expertise, Linux kernel drivers expertise, GPU and NIC hardware expertise, High-speed networking expertise, Storage systems expertise, Good communication skills, Time management skills, Organizational skills, Lead complex multi-functional projects, Guide technical teams, Present to executive partners
Nice to Have
Kubernetes experience, Familiarity with observability stacks, Experience with multi-tenant GPU cluster management, Experience with workload scheduling frameworks, Experience with NVIDIA Base Command Manager, RDMA-based fabrics experience, CI/CD pipelines experience, Infrastructure-as-Code experience, GitOps workflows experience
What You'll Do.
Serve as senior technical authority
Act as trusted consultant
Contribute to architecture reviews
Guide infrastructure decisions
Provide strategic recommendations
Establish monitoring methodologies
Refine optimization methodologies
Use analytics for optimization
Use telemetry for optimization
Use automation for optimization
Proactively detect bottlenecks
Improve infrastructure resiliency
Drive operational maturity
Lead analysis of GPU-accelerated systems
Advise on optimization of GPU-accelerated systems
Advise on performance tuning of GPU-accelerated systems
Ensure high availability
Ensure efficiency across data centers
Facilitate post-deployment reviews
Facilitate incident retrospectives
Facilitate strategy sessions
Shape customer experience
Deliver actionable insights
Own technical projects end-to-end
Lead technical projects end-to-end
Perform initial discovery
Drive continuous improvement
Ensure alignment to SLAs
Mitigate technical risks
Support business growth
Identify AI infrastructure opportunities
Craft technical proposals
How You'll Work.
Team & Collaboration
Multi-functional internal teams; Customer engagements; Partner engagements
Communication Scope
Present to executive partners
Process & Methodology
Complex technical projects
Full Job Description
NVIDIA is looking for a Senior Solutions Architect, Customer Success to join its NVIDIA Infrastructure Specialist Team. Academic and commercial organizations around the world are using NVIDIA products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world! We are looking for someone who blends deep technical expertise with a consultative, collaborative approach. This role will engage directly with customers, partners, and multi-functional internal teams to assess infrastructure needs, architect scalable solutions, and guide the implementation of large-scale networking and AI infrastructure projects. The scope spans networking, system design, and automation—serving as a trusted strategic advisor and the technical face of NVIDIA to key accounts. **What You’ll Be Doing:** * Serve as a senior technical authority and trusted consultant on NVIDIA technologies, contributing to architecture reviews, guiding infrastructure decisions at scale, and providing strategic recommendations aligned with each customer’s business objectives. * Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to proactively detect bottlenecks, improve infrastructure resiliency, and drive continuous operational maturity. * Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers. * Facilitate post-deployment reviews, incident retrospectives, and strategy sessions to shape the customer experience and deliver actionable insights into NVIDIA’s infrastructure roadmap. * Own and lead complex technical projects end-to-end—from initial discovery and solution design through implementation, knowledge transfer, and continuous improvement—ensuring alignment to SLAs and proactive mitigation of t
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