{"schemaVersion":"jobsearcher.job.v1","id":"04310d1ecf661a4f4746fd2f","url":"https://jobsearcher.com/jobs/04310d1ecf661a4f4746fd2f","canonicalUrl":"https://jobsearcher.com/jobs/04310d1ecf661a4f4746fd2f","title":"Data Center Deployment Logistics Technician","description":"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.\r\nIf you'd like to build the world's best AI cloud, join us.\r\nNote: This position requires presence at our Data Center locations 5 days per week; This role will require up to 50% Travel.\r\nThe 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.\r\nYou'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.\r\nYou'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.\r\nTravel: 50% , Travel required to various data center sites.\r\nWhat You'll Do Inventory & Asset Management Maintain accurate inventory tracking for servers, GPUs, networking gear, and components across warehouses and data centers.\r\nReceive, inspect, and record incoming shipments; verify accuracy against purchase orders and BOMs.\r\nOrganize and label assets according to Lambda's tracking standards.\r\nUse ERP and asset management tools to track inventory movement and deployment status.\r\nPerform periodic cycle counts and audits to ensure data integrity.\r\nDeployment Logistics Coordinate hardware staging, kitting, shipment, and receiving for large-scale AI infrastructure deployments.\r\nPartner 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.\r\nAssist in rack integration, cabling preparation, and packaging for outbound shipments to data centers or customer sites.\r\nWork with logistics partners to ensure timely, damage-free deliveries and returns.\r\nRMA & Hardware Lifecycle Support Manage the RMA process for defective or failed components.\r\nInitiate RMA requests with vendors and OEMs, track replacements, and ensure proper documentation and labeling.\r\nMaintain records of all hardware failures, replacements, and vendor communications.\r\nSupport root cause analysis by providing accurate component and failure data to engineering teams.\r\nEnsure returned or repaired hardware is reintegrated into inventory accurately.\r\nProcess Improvement & Collaboration Identify bottlenecks in the hardware logistics workflow and propose process improvements.\r\nCollaborate cross-functionally with procurement, deployment, and engineering teams to forecast demand and align on delivery schedules.\r\nMaintain up-to-date documentation for logistics and RMA procedures.\r\nUphold Lambda's quality and operational standards in every stage of the deployment cycle.\r\nWhat You'll Bring Required: 3+ years of experience in data center operations, logistics, inventory management, or supply chain coordination. Experience in or as a Data Center Technician.\r\nStrong understanding of hardware components (servers, GPUs, NICs, cabling, power systems).\r\nExperience managing RMA processes and vendor communications.\r\nProficiency with inventory tracking systems, ERP software, or asset management tools.\r\nExcellent organizational skills and attention to detail.\r\nAbility to lift and handle data center hardware (up to 50 lbs) safely and efficiently.\r\nStrong written and verbal communication skills.\r\nPreferred: Experience in a data center or hardware integration environment.\r\nFamiliarity with networking fundamentals (CCNA certification or coursework a plus).\r\nKnowledge of AI or HPC infrastructure components.\r\nExperience with warehouse operations, shipping logistics, or global supply chain coordination.\r\nCore Competencies Inventory Accuracy & Control\r\nSupply Chain Coordination\r\nRMA & Vendor Management\r\nData Center Hardware Handling\r\nProcess Optimization\r\nAttention to Detail\r\nSalary Range Information 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.\r\nAbout Lambda Founded in 2012, with 500+ employees, and growing fast\r\nOur 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\r\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\r\nOur values are publicly available: https://lambda.ai/careers\r\nWe offer generous cash & equity compensation\r\nHealth, dental, and vision coverage for you and your dependents\r\nWellness and commuter stipends for select roles\r\n401k Plan with 2% company match (USA employees)\r\nFlexible paid time off plan that we all actually use\r\nEqual 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.\r\nCompensation Range: $89K - $119K\r\nJ-18808-Ljbffr","company":"Lambda","rawCompany":"lambda","city":"Vernon","state":"CT","isRemote":false,"isActive":true,"createdAt":"2026-08-02T01:55:09.586Z","occupations":[{"code":"43-5071.00","title":"Shipping, Receiving, and Inventory Clerks","slug":"shipping-receiving-and-inventory-clerks"},{"code":"13-1081.00","title":"Logisticians","slug":"logisticians"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"423430","title":"Computer and Computer Peripheral Equipment and Software Merchant Wholesalers","slug":"computer-and-computer-peripheral-equipment-and-software-merchant-wholesalers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Center Deployment Logistics Technician","description":"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.\r\nIf you'd like to build the world's best AI cloud, join us.\r\nNote: This position requires presence at our Data Center locations 5 days per week; This role will require up to 50% Travel.\r\nThe 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.\r\nYou'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.\r\nYou'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.\r\nTravel: 50% , Travel required to various data center sites.\r\nWhat You'll Do Inventory & Asset Management Maintain accurate inventory tracking for servers, GPUs, networking gear, and components across warehouses and data centers.\r\nReceive, inspect, and record incoming shipments; verify accuracy against purchase orders and BOMs.\r\nOrganize and label assets according to Lambda's tracking standards.\r\nUse ERP and asset management tools to track inventory movement and deployment status.\r\nPerform periodic cycle counts and audits to ensure data integrity.\r\nDeployment Logistics Coordinate hardware staging, kitting, shipment, and receiving for large-scale AI infrastructure deployments.\r\nPartner 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.\r\nAssist in rack integration, cabling preparation, and packaging for outbound shipments to data centers or customer sites.\r\nWork with logistics partners to ensure timely, damage-free deliveries and returns.\r\nRMA & Hardware Lifecycle Support Manage the RMA process for defective or failed components.\r\nInitiate RMA requests with vendors and OEMs, track replacements, and ensure proper documentation and labeling.\r\nMaintain records of all hardware failures, replacements, and vendor communications.\r\nSupport root cause analysis by providing accurate component and failure data to engineering teams.\r\nEnsure returned or repaired hardware is reintegrated into inventory accurately.\r\nProcess Improvement & Collaboration Identify bottlenecks in the hardware logistics workflow and propose process improvements.\r\nCollaborate cross-functionally with procurement, deployment, and engineering teams to forecast demand and align on delivery schedules.\r\nMaintain up-to-date documentation for logistics and RMA procedures.\r\nUphold Lambda's quality and operational standards in every stage of the deployment cycle.\r\nWhat You'll Bring Required: 3+ years of experience in data center operations, logistics, inventory management, or supply chain coordination. Experience in or as a Data Center Technician.\r\nStrong understanding of hardware components (servers, GPUs, NICs, cabling, power systems).\r\nExperience managing RMA processes and vendor communications.\r\nProficiency with inventory tracking systems, ERP software, or asset management tools.\r\nExcellent organizational skills and attention to detail.\r\nAbility to lift and handle data center hardware (up to 50 lbs) safely and efficiently.\r\nStrong written and verbal communication skills.\r\nPreferred: Experience in a data center or hardware integration environment.\r\nFamiliarity with networking fundamentals (CCNA certification or coursework a plus).\r\nKnowledge of AI or HPC infrastructure components.\r\nExperience with warehouse operations, shipping logistics, or global supply chain coordination.\r\nCore Competencies Inventory Accuracy & Control\r\nSupply Chain Coordination\r\nRMA & Vendor Management\r\nData Center Hardware Handling\r\nProcess Optimization\r\nAttention to Detail\r\nSalary Range Information 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.\r\nAbout Lambda Founded in 2012, with 500+ employees, and growing fast\r\nOur 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\r\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\r\nOur values are publicly available: https://lambda.ai/careers\r\nWe offer generous cash & equity compensation\r\nHealth, dental, and vision coverage for you and your dependents\r\nWellness and commuter stipends for select roles\r\n401k Plan with 2% company match (USA employees)\r\nFlexible paid time off plan that we all actually use\r\nEqual 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.\r\nCompensation Range: $89K - $119K\r\nJ-18808-Ljbffr","datePosted":"2026-08-02T01:55:09.586Z","dateModified":"2026-08-02T01:55:09.586Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vernon","addressRegion":"CT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"04310d1ecf661a4f4746fd2f"},"url":"https://jobsearcher.com/jobs/04310d1ecf661a4f4746fd2f"}}