NVIDIA
AI
SeniorHPCandAIOperationEngineer
“Senior HPC and AI Operation Engineer at NVIDIA. Skills: HPC, AI, Linux administration, Networking, Storage solutions, Scripting, Automation. Deploy, manage and maintain large scale HPC/AI clusters. Managing Linux job/workload schedules and orchestration tools”
Industry & Context.
Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, Engineering, or a related or equivalent experience, 5+ years of experience, Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software, Experience with job scheduling workloads and orchestration tools such as Slurm, K8s, Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc. ) and internals, ACLs and OS level security protection and common protocols e. g. TCP, DHCP, DNS, etc., Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs., Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, Gitops, Knowledge of Networking Protocols like InfiniBand, Ethernet, Experience with virtual systems (for example VMware, Hyper-V, KVM), Familiarity with cloud computing platforms (e. g. AWS, Azure, Google Cloud)
Nice to Have
Knowledge of CPU and/or GPU architecture, Knowledge of Kubernetes, container related microservice technologies, Experience with GPU-focused hardware/software (DGX, Cuda), Background with RDMA (InfiniBand or RoCE) fabrics
What You'll Do.
manage and maintain large scale HPC/AI clusters
Managing Linux job/workload schedules and orchestration tools
Support and maintain continuous integration and delivery pipelines
Troubleshooting and fixing
bottom up from bare metal
software stack and application level
Supporting Research & Development activities and engaging in POCs/POVs for future improvements
and systems specialist to architect
develop and bring up large scale performance platforms
How You'll Work.
Team & Collaboration
Interact with HPC, OS, GPU compute, and systems specialist
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