NVIDIA
Artificial Intelligence
SeniorHPCArchitect,AutomationandAtScaleDeployment
“Senior HPC Architect, Automation and At-Scale Deployment at NVIDIA. Skills: HPC architecture, GPU computing, automation, at-scale deployment, system administration, performance tuning, Deep Learning. support deployment and bringup of large-scale GPU compute clusters. enable computing hardware and software”
Industry & Context.
analytical skills
What They're Looking For.
Must Have
8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions, Solid understanding of accelerated computing scheduling and I/O stacks, C/C++/Pythonash programming/scripting experience, Experience working with engineering or academic research community supporting high performance computing or deep learning, Experience with parallel filesystems, BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science
Nice to Have
MS or PhD desirable, Deep Learning framework skills, Exposure to using and deploying telemetry and visualization pipelines, Exposure to container technology and Linux performance tools
What You'll Do.
support deployment and bringup of large-scale GPU compute clusters
enable computing hardware and software
contribute to breakthroughs in artificial intelligence and GPU computing
Provide insights on and implement at-scale system administration and tuning mechanisms for large-scale compute runs
work with accelerated computing and Deep Learning software and hardware platforms
craft improved workflows and develop new
leading differentiated solutions
and systems specialist to architect
develop and bring up large scale performance platforms
Provide engineering solutions to operationalize the latest GPU Computing products and software stacks
ensure technical relationships with internal and external engineering teams
machine learning/deep learning engineers in building creative solutions based on NVIDIA technology
Be an internal reference for system administration
at-scale system analysis
and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community
How You'll Work.
Team & Collaboration
work with many scientific researchers, developers, and customers; interact with HPC, OS, GPU compute, and systems specialist; ensure technical relationships with internal and external engineering teams; assisting systems, machine learning/deep learning engineers
Communication Scope
teamwork and communication skills, both verbal and written
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