Drimva

xAI

Manager, Supercomputer Site Reliability Engineering - Memphis

Southaven, MS +3 · Manager · Full-time · Posted Oct 16, 2026

Location
Southaven, MS
Memphis, TN
Memphis, TN
Southaven, MS
Experience
Bachelor’s degree route: 3+ years in large-scale operations and 2+ years leading people leaders of technical teams; OR experience-only route: 10+ years in large-scale operations and 5+ years leading people leaders of technical teams.
Education
Bachelor’s degree; the posting does not state an equivalent-experience alternative.

About the job

Leads site reliability engineering for multi-campus supercomputer infrastructure, improving compute uptime, facilities reliability, hardware repair, and operational performance.

What you'll do

  • Lead and grow SRE teams responsible for cluster and facilities reliability, monitoring, incident response, and hardware failure analysis.
  • Set operational standards, on-call and incident protocols, reliability targets, and training; coordinate with engineering, operations, vendors, and service owners.
  • Improve repair velocity and reliability through root-cause analysis, automation, documentation, and hardware and system improvements.

What they ask for

  • Bachelor’s degree and 3+ years of experience working in large-scale operations, with 2+ years leading people leaders of technical teams; OR 10+ years of experience working in large-scale operations, with 5+ years leading people leaders of technical teams.
  • Willingness to travel frequently to data center locations across sites.
  • Ability to lift up to 50 lbs unassisted, stand for long periods, and occasionally use ladders.
  • Willingness to work extended hours and/or weekends as needed.

Nice to have

  • Experience leading large, multi-site, 24/7 operations; expertise in server hardware, cluster reliability, and data center technologies.
  • Experience with AI, machine learning, or high-performance computing at scale; familiarity with Jira, Python, or Bash.

Tools

Jira, Python, Bash

AI focus

Supports reliability of compute-heavy infrastructure used for AI and machine learning workloads; no direct AI development responsibilities are stated.

Model-written summary · the original posting is authoritative

First seen Oct 17, 2026 · Last verified Nov 4, 2026 (UTC)