Data Center Deployment Logistics Technician

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

The Data Center Deployment Logistics Technician 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.

What You’ll Do

Inventory & Asset Management

• 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.

Deployment Logistics

• 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.

RMA & Hardware Lifecycle Support

• 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 repaired hardware is reintegrated into inventory accurately.

Process Improvement & Collaboration

• 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.

Preferred:

• 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.

Core Competencies

• Inventory Accuracy & Control
• Supply Chain Coordination
• RMA & Vendor Management
• Data Center Hardware Handling
• Process Optimization
• Attention to Detail

Pulled from the full job description

• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance, This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

• Founded in 2012, with 500+ employees, and growing fast
• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• Our values are publicly available: https://lambda.ai/careers
• We offer generous cash & equity compensation
• Health, dental, and vision coverage for you and your dependents
• Wellness and commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible paid time off plan that we all actually use

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $89K - $119K

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.