GPU Data Center Deployment Lead — Accelerate AI Clusters

SpaceXAI; Memphis (TN); Hybrid; USD 150,000 - 230,000; Full time

Job summary

SpaceXAI is seeking a Hardware Deployment Engineer Lead to own end‑to‑end bring‑up of GPU compute hardware across the world\'s largest AI training clusters. You will lead an in‑house team responsible for L11 integration, hardware bring‑up, and post‑L11 repair of GB300‑class systems across multiple data halls, driving deployment velocity and high availability.

The role is based in Memphis, TN, with a focus on setting deployment playbooks, ensuring SLA compliance with vendors, and scaling

Qualifications

• 5+ years of hands‑on experience deploying, integrating, or repairing compute/server hardware at data center scale.
• Direct experience with L11 (rack‑level) integration and bring‑up of GPU or accelerator‑based systems.
• Demonstrated experience leading technician or engineering teams in a fast‑paced deployment, manufacturing, or data center environment.
• Deep troubleshooting skills across servers, GPUs, NVLink/fabric interconnects, high‑speed networking, and liquid cooling systems.

Responsibilities

• Lead, hire, and develop a dedicated hardware deployment team with full ownership of team structure and staffing.
• Own L11 rack integration and compute hardware bring‑up across multiple data halls concurrently, from delivery dock to healthy production handoff.
• Drive aggressive bring‑up timelines: achieve 95%+ node availability within days of rack delivery and 100% closure within one week per data hall.
• Own post‑L11 hardware health: run systematic health pushes to sustain greater than 98% node availability prior to turnover to operations.
• Internalize non‑RMA hardware repairs to maximize hardware recovery, minimize repair backlogs, and reduce dependence on OEM turnaround times.
• Develop and enforce vendor SLAs for OEM and supplier responsibilities; prevent accumulation of unrepaired hardware and repair backlogs before turnover to operations.
• Perform root cause analysis of hardware failures discovered during L11 and drive corrective actions with vendors and internal engineering teams.
• Partner with site operations on hardware debugging and repair, and train site operations teams to support future data center deployments.
• Build, document, and continuously improve deployment processes, tooling, and training so bring‑up capability scales across sites and future hardware generations.

Skills

Hands-on deployment

L11 integration

Team leadership

GPU troubleshooting

NVLink interconnects

Liquid cooling

Vendor management

Hardware bring-up

Tools

Burn-in tooling

Telemetry systems

Automation tooling

Job description

SpaceXAI is seeking a Hardware Deployment Engineer Lead to own end‑to‑end bring‑up of GPU compute hardware across the world\'s largest AI training clusters. You will lead an in‑house team responsible for L11 integration, hardware bring‑up, and post‑L11 repair of GB300‑class systems across multiple data halls, driving deployment velocity and high availability.

The role is based in Memphis, TN, with a focus on setting deployment playbooks, ensuring SLA compliance with vendors, and scaling