Manager, Supercomputer Site Reliability Engineering - Memphis (AI)

Location: Southaven, Mississippi; Memphis, Tennessee, United States. Frequent travel to data center locations is required, along with extended hours or weekend work as needed.

Company

Develops supercomputing infrastructure, AI models, and applications as part of a full-stack artificial intelligence platform.

What you will do

• Serve as the senior operational authority for the supercomputer site reliability engineering organization.
• Build and lead teams covering compute hardware failure analysis, software tools, cluster monitoring, and integrated site reliability.
• Establish 24/7 incident management, on-call, monitoring, communication, training, and operational excellence processes.
• Own cluster and facilities reliability outcomes, including compute uptime, power allocation, hardware inventory, and repair velocity.
• Partner with data center operations, engineering teams, vendors, and service owners to improve reliability and reduce mean time to repair.
• Drive hardware root-cause analysis, automation, documentation, alerting standards, and remediation of recurring failures.

Requirements

• Bachelor’s degree with 3+ years of large-scale operations experience and 2+ years leading people leaders of technical teams, or 10+ years of operations experience with 5+ years leading people leaders of technical teams.
• Experience leading large, multi-site, 24/7 operations organizations in high-responsibility environments.
• Deep knowledge of server hardware, cluster reliability, data center technologies, and lifecycle management.
• Experience with compute-heavy AI, machine learning, or high-performance computing environments at scale.
• Experience owning uptime, service-level agreements, reliability metrics, site reliability teams, root-cause analysis, and operational procedures.
• Must be able to travel frequently, lift up to 50 lbs unassisted, stand for long periods, occasionally use ladders, and work extended hours or weekends when needed.

Nice to have

• Experience partnering with vendors at scale and operating across multiple sites.
• Familiarity with Jira, Python, and Bash for monitoring and automation.
• Strong analytical skills and the ability to explain technical concepts to technicians, executives, and tenant partners.

Culture & Benefits

• 24/7 operational environment with on-call ownership of cluster-impacting events.
• Mission-focused work supporting AI research, human discovery, and large-scale compute infrastructure.
• Emphasis on disciplined operations, intelligent automation, measurable reliability, and engineering excellence.