Nvidia
Artificial Intelligence, GPU Computing
SeniorHPCDevOpsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior HPC DevOps Engineer at Nvidia. Skills: HPC DevOps, AI Infrastructure, Large-scale cluster management, Automation, Networking. Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems. Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments”
Industry & Context.
Troubleshoot Complex Issues
What They're Looking For.
Must Have
B. Sc. in Computer Science, Engineering, or a related field with 5+ years of experience, Deep knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software, Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles, Familiarity with Jenkins, Ansible, Puppet/Chef, Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu), networking and OS-level security, Deep understanding of networking protocols such as InfiniBand and Ethernet, Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes, Experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS, Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix), Familiarity with cloud platforms (AWS, Azure, Google Cloud)
Nice to Have
Proven networking experience or knowledge through professional networking training, Knowledge of CPU and/or GPU architecture, Understanding of Kubernetes and container-related microservice technologies, Experience with GPU-focused hardware/software (DGX, CUDA), Background with RDMA (InfiniBand or RoCE) fabrics
What You'll Do.
and maintain large-scale HPC/AI clusters with state-of-the-art monitoring
Utilize and develop tools to manage infrastructure as code
ensuring scalable and repeatable deployments
Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes
Develop automation scripts and tools to automate deployment
configuration management
and operational monitoring
Develop complex Networking automations
Perform comprehensive troubleshooting from bare metal to application level
ensuring system reliability and efficiency
Serve as a technical resource
developing and sharing best practices with internal teams
Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements
How You'll Work.
Team & Collaboration
Interact with HPC, OS, GPU compute, and systems specialists to architect, develop and bring up large scale performance platforms; Develop and share best practices with internal teams
Communication Scope
Excellent communication skills
Full Job Description
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. **What you’ll be doing:** * Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems. * Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments. * Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes. * Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring. * Develop complex Networking automations. * Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency. * Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams. * Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements. **What we need to see:** * B.Sc. in Computer Science, Engineering, or a related field with 5+ years of experience. * Deep knowledge of HPC and
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