AI Data Center Infrastructure Deployment Specialist

We are seeking an experienced Data Center Infrastructure Deployment Specialist to support the deployment, validation, troubleshooting, and operational readiness of physical infrastructure supporting large-scale AI data center environments. The ideal candidate will have hands-on experience with GPU/HPC infrastructure, servers, networking, cabling, storage, Linux, rack deployments, and data center operations.

This role requires a highly hands-on, operationally focused professional who can work effectively in fast-moving deployment environments, troubleshoot infrastructure issues, coordinate with multiple teams, and ensure deployments meet quality, safety, and operational standards. What You’ll Be Doing

• Join a team responsible for building and scaling the physical infrastructure supporting new AI data center deployments.
• Support operational readiness for new AI data center builds, expansions, and deployment projects.
• Deploy physical infrastructure across new builds, expansions, and future deployments.
• Install, inspect, validate, and troubleshoot servers, PDUs, network platforms, and related infrastructure.
• Work with racks, switches, routers, storage systems, GPU components, and other data center hardware.
• Execute deployment workstreams using established runbooks, rack maps, checklists, and validation workflows.
• Work against client standards for rack and physical infrastructure readiness.
• Follow deployment procedures, internal tools, and automation workflows to ensure network and infrastructure readiness.
• Troubleshoot optic issues, hardware faults, cabling problems, deployment blockers, and link inconsistencies.
• Troubleshoot Linux OS and network-adjacent issues during infrastructure deployment.
• Work with contractors and internal teams to identify and correct build-quality issues and deployment problems.
• Provide deployment support and respond to high levels of operational demand based on project requirements.

Responsibilities

• Submit RMAs, track remote work requests, and manage shipping, receiving, and component inventory during deployment projects.
• Provide clear status updates on assigned workstreams, including progress, blockers, risks, and estimated completion.
• Partner with Data Center Operations, Network Engineering, Infrastructure Engineering, Logistics, Facilities, Security, and external vendors to support deployment readiness.
• Support the handoff of deployed infrastructure into steady-state operations.
• Participate in lessons-learned activities and contribute to improvements in runbooks, validation workflows, and deployment procedures.
• Follow all safety, security, quality, and operational standards while working in active data center environments.
• Independently execute standard deployment workstreams while maintaining high-quality standards.
• Identify and resolve physical infrastructure issues, including incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, and hardware placement errors.
• Coordinate with contractors to correct deployment and build-quality issues.
• Support project schedules, operational priorities, and deployment milestones in a fast-paced environment.

• 5+ years of overall experience in infrastructure deployment, operations, or technical support.
• 2+ years of hands-on experience deploying, operating, or supporting infrastructure in AI data centers, GPU/HPC environments, cloud environments, labs, networking, or technical operations.
• Hands-on experience deploying and troubleshooting GPU servers, switches, storage systems, PDUs, optics, cabling, and related data center infrastructure.
• Strong understanding of AI data center cabling standards, rack layouts, labeling practices, power paths, and physical deployment best practices.
• Strong troubleshooting skills across hardware, cabling, Linux OS, and network connectivity.
• Strong Linux command-line experience, including terminal sessions, logs, and standard diagnostic commands.
• Familiarity with scripting, automation workflows, or tools used to validate hardware, cabling, and connectivity.
• Ability to independently execute standard deployment workstreams with minimal supervision.
• Ability to identify physical infrastructure issues such as deviations, incorrect labeling, improper cable routing, rack elevation mismatches, optic issues, and hardware placement errors.
• Experience with inventory management, asset tracking, and RMA processes.
• Strong verbal and written communication skills.

Preferred Skills

• Experience supporting large-scale AI/GPU data center deployments.
• Experience with GPU/HPC infrastructure and high-density rack environments.
• Knowledge of data center networking, optics, structured cabling, and connectivity validation.
• Experience working with contractors, vendors, and cross-functional engineering teams.
• Familiarity with deployment runbooks, rack maps, checklists, and infrastructure validation processes.
• Experience with automation and scripting for infrastructure validation and troubleshooting.

Additional Requirements

• Ability to work onsite in Memphis, TN.
• Willingness and ability to travel domestically and internationally as required by project needs.
• Ability to work standard hours and support project-based rotations when required.
• Valid driver’s license and ability to drive as needed.
• Ability to remain on your feet throughout the workday in an active data center environment.
• Ability to lift and handle objects weighing up to 50 lbs.
• Ability to work in a fast-moving environment with shifting priorities, tight timelines, and limited local support.

Core Competencies

• Data Center Infrastructure Deployment
• AI / GPU / HPC Infrastructure
• Server & Hardware Deployment
• Network & Structured Cabling
• Linux Troubleshooting
• Rack & Physical Infrastructure
• Hardware & Connectivity Troubleshooting
• RMA & Inventory Management
• Deployment Validation
• Runbooks & Operational Procedures
• Cross-Functional Collaboration
• Contractor/Vendor Coordination
• Safety & Quality Compliance