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

BS or MS degree in Computer Engineering/Science, or related field (or equivalent experience) with 10+ overall years of meaningful work experience
Experience managing GPU Fleets
10+ years of expertise in improving data center operations or critical infrastructure
Expertise in BMS & Power management
Background in working with Provisioning, Commissioning, and Config Management solutions
Experience working with Packer and developing QCOW2 images
Background in coordinating with remote hands
Experience working with Datacenter Inventory Management Systems like Netbox, Nautilus, or others
Proven track record of working with multiple teams to achieve operational excellence for an organization
Experience driving reliability with robust processes, rapid field response, and recovery

Senior Site Reliability Engineer, AI Factory

Key skills