
Compute Cluster Deployment Engineer
You'll join a small team working around the globe to build some of the most cutting-edge Datacenters in the world. This role will focus on working to deploy server and compute clusters built with brand new DGX GPU platforms responsible for AI and Machine Learning. Primary responsibilities will include deploying, managing and maintaining High Performance Compute (HPC) infrastructure in Linux-based environments mostly for new customers. Handover-related documentation and knowledge transfer required to support new deployments are another meaningful aspect of the role as you work with internal and external partners of various projects.
3+ years providing in-depth support and deployment services, solving problems for hardware and software products.
Experience with GPU focused hardware/software
Ethernet and Storage technologies
Configuration and operational expertise with networking switch/router platforms (Cumulus/Cisco/Arista/Juniper/etc).
Industry-standard Linux certifications.
Time Management
Puppet
Ansible
Salt
Cluster management technologies
Scripting proficiency
OpenStack Administration
Process Improvement
Attention to detail
Communication Skills
Adaptability
Result Driven
According to JobzMall, the average salary range for a Compute Cluster Deployment Engineer in NVIDIA Endeavor, 2788 San Tomas Expy, Santa Clara, CA 95051, USA is between $110,000 and $145,000 per year. This range may vary depending on the experience and qualifications of the individual.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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