Manager, Supercomputer Site Reliability Engineering - Memphis

ABOUT THE ROLE:

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.
• 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.

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.