Senior HPC DevOps Engineer

Stack

Responsibilities

• ▹Design, implement and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging and alerting
• ▹Use and develop tools to manage infrastructure as code for scalable, repeatable deployments
• ▹Develop and maintain CI/CD pipelines to automate deployment
• ▹Develop automation scripts and tools for deployment, configuration management and operational monitoring
• ▹Develop complex networking automations
• ▹Perform comprehensive troubleshooting from bare metal to application level
• ▹Serve as a technical resource and share best practices with internal teams
• ▹Support R&D activities and proofs of concept and proofs of value

Requirements

• ▹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 and a solid understanding of object-oriented programming principles
• ▹Familiarity with Jenkins, Ansible, Puppet/Chef
• ▹Excellent knowledge of Windows and Linux (Red Hat/CentOS and Ubuntu), networking and OS-level security
• ▹Deep understanding of networking protocols such as InfiniBand and Ethernet
• ▹Experience with job scheduling and orchestration tools such as Slurm and Kubernetes
• ▹Background with storage solutions such as 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 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

Soft skills

About the company

NVIDIA is the world leader in accelerated computing and artificial intelligence.