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xAI

Manager, Supercomputer Site Reliability Engineering - Memphis

xAI is hiring a Manager, Supercomputer Site Reliability Engineering - Memphis. Level rates it ; you can apply on Level.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include GPU, Kubernetes and Linux.
  • Level files it as a lead role.
  • Level lists 304 other open roles at xAI.
  • The role was posted in the last few days.

AI in this role

Manage hyperscale GPU supercomputer infrastructure and SRE teams to ensure high availability for AI training clusters.

gpukuberneteslinux
ai-automationsreinfrastructurehardware-diagnosticsincident-command

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

SpaceXSI operates multi-campus, hyperscale GPU infrastructure where cluster availability directly determines training throughput, customer handover commitments, and capital efficiency of the fleet. The Manager of Supercomputer Site Reliability Engineering will be responsible for both compute and infrastructure performance, and will be responsible for significantly increasing the SRE team size. On the compute side, focus will be put on continuous site monitoring, cross-discipline incident command, deep hardware root-cause analysis (RCA), and emphasis on software systems that orchestrate repair velocity. Additional focus will be on physical infrastructure reliability as well. Understanding system margins and resiliency will be key. 

Site Reliability engineering manager owns >99% compute uptime outcome, drives unplanned facilities compute losses to 0, ensures efficient allocation of > 3GW site power, upgrade robust fault-free megapack failover systems capable of supporting all halls for >4 hours (160 MWhr per hall), drives robust hardware inventory systems and repair velocity to eliminate hardware chokepoints.

RESPONSIBILITIES:

  • Serve as the 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 increasingly proactive cluster and facilities health and reliance initiatives
  • Build out the site reliability engineering sub-teams: compute hardware failure analysis, software tools, cluster monitoring, and integrated site reliability engineering

Drive operational superiority

  • Define SRE organizational structure and develop culture of 24/7 operational excellence
    • Physics limit anomaly response times and robust proactive health processes
    • Define on-call responsibilities, incident management protocols, leadership structure, and communication discipline
    • Develop training schemes for tough, competent, and disciplined monitoring and response teams
  • Establish clear operational interfaces with Datacenter Operations, engineering teams, vendors, and other service owners
    • Own vendor oversight and accountability mechanisms
    • Drive mean time to repair toward physics limits
  • Define and continuously improve operational procedures and analysis documentation mechanisms with strong emphasis on intelligent automation
    • Lead robustification of documentation workflow
    • Ensure efficient signal to noise in execution
  • Define operational targets, health indicators, alerting standards, and incident severity definitions that facilitate measurable team performance insights and accountability mechanisms

Cultivate engineering excellence

  • Drive high technical standard for hardware root cause analysis and remediation teams ensuring industry-leading hardware failure diagnostic expertise
  • Integrate with platform engineering teams to develop sophisticated hardware and system understanding to drive high operational reliability
  • Drive repeat hardware issues to a minimum and lead automation efforts to eliminate manual overhead for unavoidable remediation needs

BASIC QUALIFICATIONS:

  • Bachelor’s degree and 3+ years of experience working in a large scale operations with 2+ years leading people leaders of technical teams or 10+ years of experience working in a large scale operations with 5+ years leading people leaders of technical teams.

PREFERRED SKILLS AND EXPERIENCE:

  • 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.
  • A track record of owning uptime, Service Level Agreements, 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 the ability to explain technical concepts clearly to diverse audiences, from technicians to executive and tenant partners.
  • A history of partnering with vendors at scale, driving mean time to repair down, and scaling operations across multiple sites.
  • Familiarity with tooling and automation (e.g., Jira, Python, Bash) used to monitor cluster health and improve team efficiency.
  • Enthusiasm for SpaceXAI's mission to accelerate human discovery and unravel the universe.
  • Ability to thrive in a dynamic, mission-focused environment with on-call ownership of cluster-impacting events.

ADDITIONAL REQUIREMENTS:

  • Willingness to travel frequently to data center locations to support operations across sites.
  • Physical capability to handle data center tasks, including lifting up to 50 lbs unassisted, standing for long periods, and occasional ladder use.
  • Must be willing to work extended hours and/or weekends as needed.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

How we rate this

Manager, Supercomputer Site Reliability Engineering - Memphis at xAI rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationSreInfrastructureHardware DiagnosticsIncident CommandGPUKubernetesLinux

Questions you could be asked

  1. Tell me about a workflow you automated with AI tools, end to end.
  2. Tell me about a project where sre was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where hardware diagnostics was part of your work. What did you do?
  5. Tell me about a project where incident command was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Automation, Sre, Infrastructure, Hardware Diagnostics, and Incident Command. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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