• Running commissioning and provisioning for GPU systems • Running the firmware versions of equipment and components, and communicating the supported versions across the organization • Through Day-2 operations, keeping tight SLOs around efficiency, performance, and availability • Monitoring the hardware state of the cluster, finding bottlenecks and hot spots, and helping users attain peak performance constantly • Triaging the HW break-fix issues and making constant improvements using open-source break-fix solutions • Collaborate with programming and technical divisions to define and implement repeatable procedures • Develop and implement operations strategy & processes, maintaining consistency with SLAs across critically important infrastructure • Develop and apply procedures for minimal downtime and quality controls to strive to achieve continuous uptime • Feeding requirements to software and hardware teams • Creation of documentation that the ecosystem can use to run its own AI Data Centers