{"schemaVersion":"jobsearcher.job.v1","id":"0d8d352be90bc012dd2d8a11","url":"https://jobsearcher.com/jobs/0d8d352be90bc012dd2d8a11","canonicalUrl":"https://jobsearcher.com/jobs/0d8d352be90bc012dd2d8a11","title":"Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS","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 worlds hardest problems.\nNVIDIA is looking for 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! 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 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!\nWhat you'll be doing:\nMaintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.\nDevelop and maintain continuous integration and delivery pipelines\nDevelop 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.\nDeploy monitoring solutions for the servers, network and storage.\nPerform troubleshooting bottom up from bare metal, operating system, software stack and application level.\nBeing 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 .\nWhat we need to see:\nBS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.\nAt least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.\nKnowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.\nExtensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.\nExperience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.\nExperience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes, and Singularity.\nExcellent knowledge of Windows and Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.\nExperience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS. Familiarity with newer and emerging storage technologies is a plus.\nProficiency in Python programming and bash scripting.\nKnowledge of CI/CD pipelines for software deployment and automation.\nComfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.\nAbility to communicate technical concepts and collaborate effectively with Japanese-speaking customers.\nWays to stand out from the crowd:\nKnowledge of CPU and/or GPU architecture .\nKnowledge of Kubernetes, container related microservice technologies.\nExperience with GPU-focused hardware/software (DGX, CUDA.)\nBackground with RDMA (InfiniBand or RoCE) fabrics.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you.","company":"NVIDIA","rawCompany":"nvidia","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T13:32:26.503Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1241.00","title":"Computer Network Architects","slug":"computer-network-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS","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 worlds hardest problems.\nNVIDIA is looking for 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! 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 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!\nWhat you'll be doing:\nMaintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.\nDevelop and maintain continuous integration and delivery pipelines\nDevelop 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.\nDeploy monitoring solutions for the servers, network and storage.\nPerform troubleshooting bottom up from bare metal, operating system, software stack and application level.\nBeing 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 .\nWhat we need to see:\nBS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.\nAt least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.\nKnowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.\nExtensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.\nExperience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.\nExperience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes, and Singularity.\nExcellent knowledge of Windows and Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.\nExperience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS. Familiarity with newer and emerging storage technologies is a plus.\nProficiency in Python programming and bash scripting.\nKnowledge of CI/CD pipelines for software deployment and automation.\nComfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.\nAbility to communicate technical concepts and collaborate effectively with Japanese-speaking customers.\nWays to stand out from the crowd:\nKnowledge of CPU and/or GPU architecture .\nKnowledge of Kubernetes, container related microservice technologies.\nExperience with GPU-focused hardware/software (DGX, CUDA.)\nBackground with RDMA (InfiniBand or RoCE) fabrics.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you.","datePosted":"2026-08-03T13:32:26.503Z","dateModified":"2026-08-03T13:32:26.503Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0d8d352be90bc012dd2d8a11"},"url":"https://jobsearcher.com/jobs/0d8d352be90bc012dd2d8a11"}}