Site Reliability Engineer (AI)

Location: Memphis, Tennessee; Southaven, Mississippi, United States

Company

xAI builds AI systems designed to understand the universe and support humanity’s pursuit of knowledge.

What you will do

• Design and own campus-scale monitoring architecture, alert suppression, and signal quality.
• Lead SEV-class technical incidents, coordinate incident bridges with the NOC, and maintain accurate timelines and severity classification.
• Run blameless postmortems and drive corrective actions through completion.
• Lead reliability projects across compute, network, storage, power, cooling, and facilities telemetry.
• Build playbooks, run game days, maintain dependency maps, and improve runbook quality with the NOC.
• Define error budgets and availability objectives, and participate in on-call rotations for the data center campus.

Requirements

• Bachelor’s degree in Systems Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• 5+ years of experience in site reliability, systems engineering, or large-scale production operations, preferably in high-performance computing or data center environments.
• Experience commanding large-scale incidents and providing calm technical leadership during incident bridges.
• Experience designing fleet- or campus-scale monitoring and observability, including alert hygiene, suppression, and signal quality.
• Experience across at least two of compute, network, storage, power, and cooling or facilities telemetry.
• Proficiency in Python and Bash scripting, plus general experience with at least one systems language such as C, C++, Java, Go, or Rust.

Nice to have

• Experience with AI/ML infrastructure or supercomputing environments.
• Hands-on experience with SLOs, SLIs, and error budgets.
• Experience running game days, mapping dependencies, and managing closed-loop corrective action programs.
• Familiarity with data center hardware and plant signals, including servers, GPUs, networking, power, and cooling.
• Experience in a fast-paced startup or technology company.

Culture & Benefits

• Small, highly motivated organization focused on engineering excellence.
• Flat structure with hands-on contribution expected from all employees.
• Leadership opportunities based on initiative and consistent delivery.
• Collaborative work across NOC, data center operations, and infrastructure engineering.