Nvidia
SeniorSolutionsArchitect,CloudInfrastructureandDevOps
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“Senior Solutions Architect, Cloud Infrastructure and DevOps at Nvidia. Skills: Cloud Infrastructure, DevOps, AI/ML, Kubernetes. Advise on large-scale infrastructure. Maintain large-scale infrastructure”
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
8+ years professional experience, BS/MS/PhD in CS, EE, Physics, Math, Hands-on HPC/AI clusters, Deploying, configuring, optimizing NVIDIA GPU, Extensive Kubernetes experience, Familiarity with HPC/AI technologies, Deep Linux knowledge, Experience with storage solutions, Proficiency in Python and Bash, Experience with IaC tools, Experience with observability stacks, Background in crafting scalable solutions, Consultative support to customers
Nice to Have
Knowledge of CI/CD pipelines, Experience with NVIDIA GPU/Network Operators, Solid hands-on Kubernetes knowledge, Experience with NVIDIA Base Command Manager, Background with RDMA-based fabrics
What You'll Do.
Advise on large-scale infrastructure
Maintain large-scale infrastructure
Provide consultative guidance
Perform hands-on solving
Assess customer environments
Recommend container platforms
Develop standard methodologies
Refine standard methodologies
Document standard methodologies
Support R&D activities
Deliver documentation
Act as technical leader
Provide strategic guidance
Influence infrastructure decisions
Influence operations decisions
How You'll Work.
Team & Collaboration
Multi-functional teams; Internal teams; Customer partners
Communication Scope
Public speaking; Executive presentations
Full Job Description
NVIDIA is looking for a Senior Cloud Infrastructure and DevOps Solutions Architect 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 combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and multi-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation—serving as both a trusted advisor and a hands-on technical leader. **What You’ll Be Doing:** * Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers). * Provide consultative guidance and perform hands-on solving across the full stack—from bare metal and operating system, through the software stack, container platform, networking, and storage. * Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions. * Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer partners. * Support Research & Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches. * Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams. * Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and
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