Data Center Deployment Logistics Technician

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Note:

This position requires presence at our Data Center locations 5 days per week;
This role will require up to 50% Travel.

plays a critical role in Lambda’s hardware supply chain and data center operations. You’ll manage the flow of equipment from procurement to deployment, ensure accurate inventory tracking, up to date receiving, and handle RMA (Return Merchandise Authorization) processes for defective hardware.

You’ll work closely with the Infrastructure Deployment team, Data Center Operations, RMA team, and Supply Chain teams to make sure hardware moves efficiently through Lambda’s global deployment pipeline — from warehouse to rack.

You’ll also develop and utilize your technical understanding of AI Infrastructure to aid in building AI Clusters at scale and act as a primary point of contact for deployment data and data center inventory.

Travel: 50% , Travel required to various data center sites.

• Maintain accurate inventory tracking for servers, GPUs, networking gear, and components across warehouses and data centers.
• Receive, inspect, and record incoming shipments; verify accuracy against purchase orders and BOMs.
• Organize and label assets according to Lambda’s tracking standards.
• Use ERP and asset management tools to track inventory movement and deployment status.
• Perform periodic cycle counts and audits to ensure data integrity.

• Coordinate hardware staging, kitting, shipment, and receiving for large-scale AI infrastructure deployments.
• Partner with the infrastructure deployment team to ensure all components are available and prepped before installation. Act is the primary point of contact for material availability and staging at the data center.
• Assist in rack integration, cabling preparation, and packaging for outbound shipments to data centers or customer sites.
• Work with logistics partners to ensure timely, damage-free deliveries and returns.

• Manage the RMA process for defective or failed components.
• Initiate RMA requests with vendors and OEMs, track replacements, and ensure proper documentation and labeling.
• Maintain records of all hardware failures, replacements, and vendor communications.
• Support root cause analysis by providing accurate component and failure data to engineering teams.
• Ensure returned or recovered hardware is reintegrated into inventory accurately.

• Identify bottlenecks in the hardware logistics workflow and propose process improvements.
• Collaborate cross-functionally with procurement, deployment, and engineering teams to forecast demand and align on delivery schedules.
• Maintain up-to-date documentation for logistics and RMA procedures.
• Uphold Lambda’s quality and operational standards in every stage of the deployment cycle.

• 3+ years of experience in data center operations, logistics, inventory management, or supply chain coordination. Experience in or as a Data Center Technician.
• Strong understanding of hardware components (servers, GPUs, NICs, cabling, power systems).
• Experience managing RMA processes and vendor communications.
• Proficiency with inventory tracking systems, ERP software, or asset management tools.
• Excellent organizational skills and attention to detail.
• Ability to lift and handle data center hardware (up to 50 lbs) safely and efficiently.
• Strong written and verbal communication skills.

• Experience in a data center or hardware integration environment.
• Familiarity with networking fundamentals (CCNA certification or coursework a plus).
• Knowledge of AI or HPC infrastructure components.
• Experience with warehouse operations, shipping logistics, or global supply chain coordination.

• Inventory…