NVIDIA
DataCenterEngineer,HPCandAI
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Center Engineer, HPC and AI at NVIDIA. Skills: HPC and AI Data Center Engineering, Linux, Data Center Operations, Troubleshooting. Plan and build complex cluster and supercomputers in various of data center and labs. Rack stack and cable management to ensure efficient use of space and easy maintenance”
Industry & Context.
problem identification; resolution; solving skills
What They're Looking For.
Must Have
MCSE or MCITP/CCNA certification, 3+ years of experience as lab manager, Experience in supporting large and complex data centers, Proven hands-on experience in Linux troubleshooting with good problem identification, resolution and solving skills, In depth knowledge in Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc.
Nice to Have
Scripting experience in Bash and/or Python, Experience with configuration managements tools known in the community (e. g. Ansible, puppet), CI & Known Job schedulers tools (e. g. Jenkins, SLURM), Virtualization: KVM / VMware / Hyper-V, Experience with L2 & L3 network protocols
What You'll Do.
Plan and build complex cluster and supercomputers in various of data center and labs
Rack stack and cable management to ensure efficient use of space and easy maintenance
Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization
Data centers and labs daily operation and support
Installations for variety of infrastructure and solutions - Cloud
Perform troubleshooting - network
Support Research & Development activities
building supercomputers and HPC clusters
building large-scale compute and Deep Learning software and hardware platforms
support many scientific researchers
and customers to craft improved workflows and develop new
leading differentiated solutions
How You'll Work.
Team & Collaboration
work together and support many scientific researchers, developers, and customers
Full Job Description
NVIDIA is looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. **What you will be doing:** * Plan and build complex cluster and supercomputers in various of data center and labs * Rack stack and cable management to ensure efficient use of space and easy maintenance * Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization * Data centers and labs daily operation and support * Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI * Perform troubleshooting - network, optic cabling, bare metal, operating system. * Support Research & Development activities **What we need to see:** * MCSE or MCITP/CCNA certification * 3+ years of experience as lab manager * Experience in supporting large and complex data centers * Proven hands-on experience in Linux troubleshooting with good problem identification, resolution and solving skills. * In depth knowledge in Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc. * Team Work, Service oriented, organized **Ways to stand out from the crowd:** * Scripting experience in Bash and/or Python * Experience with configuration managements tools known in the community (e.g. Ansible, puppet) * CI & Known Job schedulers tools (e.g. Jenkins, SLURM) * Virtualization: KVM / VMware / Hyper-V * Experience with L2 & L3 network protocols NVIDIA is widely considered to be
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