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xAI (SpaceXSI) is building supercomputer infrastructure and AI models to advance human discovery. The company operates multi-campus, hyperscale GPU clusters where availability directly impacts training throughput, customer commitments, and capital efficiency.
As Manager of Supercomputer Site Reliability Engineering, you will lead the SRE organization responsible for compute and infrastructure performance across the Memphis supercomputer site. You will own >99% compute uptime outcomes, drive unplanned facilities compute losses to zero, ensure efficient allocation of >3GW site power, and oversee robust fault-free megapack failover systems capable of supporting all halls for >4 hours (160 MWhr per hall). You will also drive hardware inventory systems and repair velocity to eliminate hardware chokepoints.
Key responsibilities include:
- Serve as senior operational authority for the SRE organization and represent production reliability concerns in engineering and leadership discussions
- Lead integrated supercompute systems engineering reliability team responsible for reactive and proactive cluster and facilities health initiatives
- Build out SRE sub-teams: compute hardware failure analysis, software tools, cluster monitoring, and integrated site reliability engineering
- Define SRE organizational structure and develop culture of 24/7 operational excellence, including on-call responsibilities, incident management protocols, and training schemes
- Establish clear operational interfaces with Datacenter Operations, engineering teams, vendors, and service owners; own vendor oversight and accountability
- Define and continuously improve operational procedures and analysis documentation with emphasis on intelligent automation
- Define operational targets, health indicators, alerting standards, and incident severity definitions
- Drive high technical standards for hardware root cause analysis and remediation teams
- Integrate with platform engineering teams to develop sophisticated hardware and system understanding
- Drive repeat hardware issues to minimum and lead automation efforts to eliminate manual overhead
You will travel frequently to data center locations and be willing to work extended hours and weekends as needed. Physical capability to handle data center tasks (lifting up to 50 lbs, standing for long periods, occasional ladder use) is required.
REQUIREMENTS:
- Bachelor's degree and 3+ years of experience in large-scale operations with 2+ years leading people leaders of technical teams, OR 10+ years of experience in large-scale operations with 5+ years leading people leaders of technical teams
- Proven ability to lead large, multi-site, 24/7 operations organizations in fast-paced, high-responsibility settings
- Deep expertise in server hardware, cluster reliability, and data center technologies from deployment through lifecycle management
- Experience supporting compute-heavy environments like AI, machine learning, or high-performance computing at scale
- Track record of owning uptime, SLAs, or reliability metrics for large compute clusters
- Experience leading site reliability engineering or equivalent reliability-focused teams, including root cause analysis and procedure ownership
- Strong analytical skills and ability to explain technical concepts to diverse audiences
- History of partnering with vendors at scale, driving mean time to repair down, and scaling operations across multiple sites
- Familiarity with tooling and automation (Jira, Python, Bash) for cluster health monitoring and team efficiency
- Ability to thrive in dynamic, mission-focused environment with on-call ownership of cluster-impacting events
