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Lambda
Engineering & Architecture 5h ago

Data Center Infrastructure Technician

Lambda
United StatesUnited States
Full-time
Not Disclosed
Mid-Level
VT

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Job Description

Key Skills Required

Master these to land this role

DCIM SoftwareStructured CablingData Center InfrastructurePower DistributionServer Hardware

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Lambda, The Superintelligence Cloud, a leader in AI cloud infrastructure serving tens of thousands of customers, is seeking a Data Center Infrastructure Technician to join their team in Plano, TX. Their mission is to make compute as ubiquitous as electricity and empower everyone with the power of superintelligence.

What You'll Do

  • Ensure new server, storage, and network infrastructure is properly racked, labeled, cabled, and configured.
  • Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.
  • Document and update data center layout and network topology in DCIM software.
  • Collaborate with supply chain and manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments.
  • Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process across all data centers.
  • Partner with HW Support teams to resolve and report on data center hardware incidents with higher-level troubleshooting challenges, ensuring solutions are disseminated.
  • Work with the RMA team to ensure faulty parts are returned and replacements are ordered.
  • Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers.

You

  • Must have strong past experience with critical infrastructure systems supporting data centers, such as:
    • Power distribution,
    • Airflow management,
    • Environmental monitoring,
    • Capacity planning,
    • DCIM software,
    • Structured cabling, and
    • Cable management.
  • Should be familiar with carrier DIA circuit test and turn-ups, fiber testing and troubleshooting.
  • Basic knowledge of cable optics and their different types of use.
  • Solid understanding of single and three-phase power theories.
  • Knowledge of PDU balancing and its importance.
  • Familiarity with multiple cable media types and their uses.
  • Knowledge of cold aisle and hot aisle containment.
  • Solid understanding of server hardware and boot processes.
  • Ability to structure, collaborate, and iteratively improve on complex maintenance MOPs (Maintenance Operations Procedures).
  • Work with product management, support, and other teams to align operational capabilities with company goals.
  • Translate business priorities into technical and operational requirements.
  • Support cross-functional projects where infrastructure plays a critical role.
  • Must be action-oriented and willing to train junior staff on best practices.
  • Willingness to travel for the bring-up of new data center locations as needed.

Nice to Have

  • 3+ years of experience with critical infrastructure systems supporting data centers.
  • Experience with or knowledge of network topology and configurations and 400GB Infiniband architectures.
  • Experience with or knowledge of DDP or SCM cluster storage systems.
  • 3+ years of experience working with and reporting from ticketing systems like JIRA and Zendesk.
  • Advanced experience with Linux administration.
  • Experience with High Performance Compute GPU systems (air or water cooled), especially Nvidia NVL72.

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Lambda (operating under lambda.ai, formerly Lambda Labs) is the premier, enterprise-grade AI computing platform, modular AI factory pioneer, and GPU infrastructure powerhouse engineered to operate as the definitive, high-velocity compute backbone for the world’s most advanced AI research labs, engineering teams, and superintelligence initiatives. Founded in 2012 by ML engineers, the company completely eliminates the severe systemic friction of modern AI training—where high-performance model development is often throttled by limited GPU accessibility, complex cluster orchestration, and inefficient interconnect bottlenecks—by deploying an advanced, purpose-built AI factory matrix. Moving far beyond traditional, general-purpose cloud providers, Lambda natively unifies high-density, liquid-cooled, and InfiniBand-interconnected GPU compute infrastructure with a curated, AI-optimized software stack (Lambda Stack). The ecosystem offers a tiered deployment model: on-demand GPU instances for rapid prototyping, \"1-Click Clusters\" for production-ready model training (16 to 2,000+ NVIDIA B200 or H100 GPUs), and bespoke \"Superclusters\" (4,000 to 165,000+ GPUs) designed for foundation model training at gigawatt scale. Trusted by 97% of top U.S. research universities and a massive global footprint of enterprise AI developers, Lambda’s infrastructure is explicitly tuned for PyTorch, TensorFlow, and JAX workloads. Backed by $480M+ in Series D funding and recognized as a key NVIDIA partner for healthcare and supercomputing, the organization maintains a strict \"AI-only\" engineering focus, providing 24/7 technical support specifically centered on resolving complex ML cluster performance, networking, and throughput issues. What sets Lambda apart is its uncompromising dedication to replacing complex, fragmented infrastructure management with absolute compute accessibility and performance predictability; by bridging the gap between mission-critical hardware engineering and the rapid-fire requirements of AI reasoning and generation, the enterprise remains the definitive, category-defining cornerstone of modern algorithmic supercomputing and worldwide AI transformation.

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Data Center Infrastructure Technician at Lambda | HireSkys