Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS job opportunity at NVIDIA.

Home Jobs In South Korea Tag: Cloud Infrastructure and DevOps - NVIS Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS position at NVIDIA


DateMore Than 30 Days Ago bot
NVIDIA Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS
Experience: 8-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Cloud Infrastructure and DevOps - NVIS

Copy Link Report
degreePhD
loacation Korea, Seoul, South Korea
loacation Korea, Seoul....South Korea

NVIDIA is looking for Senior Cloud Infrastructure and DevOps Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to redefine deep learning and data analytics, and to power data centers. Be involved with the crew developing many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and various departments, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Building, Kubernetes-based platforms, and Automation and being the face to the customer! What you'll be doing: Maintain large scale computational and AI infrastructure, focusing on monitoring, logging, workload orchestration (Kubernetes and Linux job schedulers). Perform end-to-end resolving across the stack, from bare metal and operating system, through the software stack, container platform, networking, and storage. Optimize scalable, production-ready Kubernetes-based container platforms coordinated with enterprise-grade networking and storage. Serve as a key technical resource, develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams. 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. Become the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions. What we need to see: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 8+ years of professional experience in managing scalable cloud environments and automation engineering roles. Cloud & HPC Expertise: Proven understanding of networking fundamentals (TCP/IP stack), data center architectures, and hands-on experience managing HPC/AI clusters, including deployment, optimization, and fixing issues. Kubernetes & AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with HPC environments. Hardware & Software Knowledge: Familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks. Linux & Storage Systems: Deep knowledge of Linux (RedHat/CentOS, Ubuntu), OS-level security, and protocols (TCP, DHCP, DNS). Experience with storage solutions such as Lustre, GPFS, ZFS, XFS, and emerging Kubernetes storage technologies. Automation & Observability: Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools (e.g., Ansible, Terraform). Experience with observability stacks (Grafana, Loki, Prometheus) for monitoring, logging, and building fault-tolerant systems. Solution Architecture & Customer Engagement: Strong background in crafting scalable solutions and providing consultative support to customers. Ways to stand out from the crowd: Knowledge of CI/CD pipelines for software deployment and automation. Solid hands-on knowledge of Kubernetes and container-based microservices architectures. Experience with GPU-focused hardware and software (e.g., NVIDIA DGX, CUDA, GPU Operator). Background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments.

Other Ai Matches

Senior ASIC Design Engineer, Memory Controller Applicants are expected to have a solid experience in handling Memory Controller related tasks
Implementation Methodology Engineer - GPU Applicants are expected to have a solid experience in handling Job related tasks
CPO Integration Engineer - LPU Packaging Applicants are expected to have a solid experience in handling Job related tasks
Principal Quantum Error Correction Research Scientist, Applied Research Applicants are expected to have a solid experience in handling Applied Research related tasks
System Software Engineer - Tegra Applicants are expected to have a solid experience in handling Job related tasks
AI Compiler Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Developer Applicants are expected to have a solid experience in handling Job related tasks
System Design Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior GenAI Engagement Lead, Partner Platforms Applicants are expected to have a solid experience in handling Partner Platforms related tasks
Senior Product Quality and Reliability Engineer Applicants are expected to have a solid experience in handling Job related tasks
Manager, MCU Firmware Applicants are expected to have a solid experience in handling MCU Firmware related tasks
Formal Verification Infra Development Engineer Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Manager, Software Verification Applicants are expected to have a solid experience in handling Software Verification related tasks
Director, Technical Accounting Applicants are expected to have a solid experience in handling Technical Accounting related tasks
Senior PR Manager, AI Software Applicants are expected to have a solid experience in handling AI Software related tasks
Senior ASIC Engineer - Networking Chip Design Applicants are expected to have a solid experience in handling Job related tasks
Sales Development Specialist Applicants are expected to have a solid experience in handling Job related tasks
Senior System Software Engineer, Networking Linux Kernel - DGX Cloud Applicants are expected to have a solid experience in handling Networking Linux Kernel - DGX Cloud related tasks
Senior Technical Program Manager, Metropolis Manufacturing Applicants are expected to have a solid experience in handling Metropolis Manufacturing related tasks
Manager, Large Language Model Inference Applicants are expected to have a solid experience in handling Large Language Model Inference related tasks
Tools and Development Engineer Applicants are expected to have a solid experience in handling Job related tasks
System Architect Applicants are expected to have a solid experience in handling Job related tasks
Senior ASIC Verification Engineer Applicants are expected to have a solid experience in handling Job related tasks