Senior Solutions Architect, Cloud Infrastructure and DevOps

About the role

NVIDIA is seeking a Senior Solutions Architect to join its Infrastructure Specialist Team. You will work directly with customers, partners, and internal teams to design, implement, and optimize large‑scale AI/HPC infrastructure on Kubernetes‑based platforms.

Key responsibilities

• Advise on and maintain large‑scale computational and AI infrastructure, including monitoring, logging, and workload orchestration.
• Provide hands‑on guidance across the full stack—from bare metal and OS to container platforms, networking, and storage.
• Assess customer environments and recommend production‑ready Kubernetes‑based solutions integrated with enterprise networking and storage.
• Develop, refine, and document standard methodologies and operational guidelines for internal and partner use.
• Support R&D activities, conduct POCs/POVs, and validate new features and upgrade approaches.
• Create high‑quality documentation such as runbooks, onboarding materials, and best‑practice guides.
• Act as technical leader for assigned accounts, influencing long‑term infrastructure and DevOps decisions.

Required profile

• BS/MS/PhD in Computer Science, Engineering, Physics, Mathematics or equivalent.
• 8+ years of experience in scalable cloud environments and automation engineering.
• Strong background in networking fundamentals, data‑center architecture, and HPC/AI cluster deployment.
• Hands‑on experience with NVIDIA GPU‑accelerated infrastructure, driver management, and CUDA toolkit integration.
• Extensive experience with Kubernetes for GPU‑accelerated and HPC workloads.

Required skills

• Kubernetes
• Linux operating systems and job schedulers
• NVIDIA GPUs and CUDA toolkit
• GPU driver management and workload profiling
• Container platforms (Docker, OCI)
• Networking fundamentals and data‑center design
• Enterprise storage solutions
• HPC cluster deployment and optimization
• Automation engineering and scripting
• AI/ML workload orchestration