Senior Cloud Infrastructure/DevOps Solutions Architect

Position Overview

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world’s hardest problems. NVIDIA is looking for a Senior Cloud Infrastructure/DevOps Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! This role will be interacting with customers, partners, and internal teams, to analyze, define, and implement large-scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!

• Employment Type: Full Time
• Location Type: [Not specified]

Requirements

• Education: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
• Experience: At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
• Knowledge:
  • HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
  • Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
  • Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.
  • Job scheduling workloads and orchestration technologies such as Slurm, Kubernetes, and Singularity.
• Operating Systems: Extensive knowledge and hands-on experience with Windows and Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.
• Storage: Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS.

Responsibilities

• Maintain large-scale HPC/AI clusters with monitoring, logging, and alerting.
• Manage Linux job/workload schedulers and orchestration tools.
• Develop and maintain continuous integration and delivery pipelines.
• Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
• Deploy monitoring solutions for the servers, network, and storage.
• Perform troubleshooting bottom up from bare metal, operating system, software stack, and application level.
• Be a technical resource, develop, re-define, and document standard methodologies to share with internal teams.
• Support Research & Development activities and engage in POCs/POVs for future improvements.

Application Instructions

• [Not specified]

Company Information

• Company: NVIDIA
• Industry: Computer Graphics, Artificial Intelligence, Accelerated Computing
• Description: NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world’s hardest problems.