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Lambda
Engineering & Architecture 13h ago

Electrical Commissioning Engineer

Lambda
United StatesUnited States
🌍Sao Tome and Principe
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

Master these to land this role

CommissioningElectrical EngineeringData CentersHyperscale InfrastructureNEC, NFPA 70E, IEEE, NETA

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Lambda, The Superintelligence Cloud, a leader in AI cloud infrastructure, is seeking an experienced Electrical Commissioning Engineer to join their team. Lambda serves tens of thousands of customers, from AI researchers to enterprises and hyperscalers, with a mission to make compute as ubiquitous as electricity.

What You’ll Do

  • Perform site walkdowns to verify installed electrical systems against approved designs, single-line diagrams, specifications, submittals, and Lambda standards.
  • Validate equipment ratings, protection settings, phasing, grounding and bonding, terminations, labeling, redundancy, and electrical failure domains.
  • Identify installation deficiencies, design conflicts, and operational risks; document punch-list items and drive them through closure.
  • Review construction test results and witness factory acceptance testing, site acceptance testing, functional testing, and integrated systems testing.
  • Develop and review energization plans, MOPs, SOPs, EOPs, switching procedures, and electrical safety controls.
  • Support initial energization and troubleshoot issues involving substations, transformers, switchgear, UPS systems, generators, busway, PDUs, RPPs, and rack-level distribution.
  • Coordinate with design engineers, engineering partners, utilities, general contractors, electrical trades, equipment manufacturers, commissioning agents, operations, and HPC deployment teams.
  • Confirm that electrical capacity, voltage, redundancy, monitoring, and protection are ready before IT equipment is energized.
  • Validate as-built documentation, equipment settings, test reports, commissioning records, and turnover packages before operational handoff.
  • Capture field lessons and incorporate them into Lambda’s design standards, commissioning requirements, and site-validation playbooks.
  • Mentor other engineers and provide senior technical leadership during high-risk energization and bring-up activities.

You

  • Must have significant experience delivering, commissioning, or operating electrical systems in data centers, mission-critical facilities, utilities, or large industrial environments.
  • Understand both medium- and low-voltage distribution, including transformers, switchgear, protective relays, generators, UPS systems, busway, grounding, and rack-level power.
  • Can interpret single-line diagrams, equipment submittals, protection studies, relay settings, test reports, and construction documentation.
  • Have hands-on experience with site inspections, electrical testing, energization, commissioning, or operational turnover.
  • Understand electrical safety, lockout/tagout, energized work controls, and applicable NEC, NFPA 70E, IEEE, and NETA requirements.
  • Can distinguish between cosmetic deficiencies and conditions that create material safety, reliability, or operational risk.
  • Are comfortable making decisions in the field, escalating critical issues, and coordinating corrective work under schedule pressure.
  • Communicate clearly with construction teams, engineers, vendors, operators, and senior stakeholders.
  • Are willing to travel extensively and spend extended periods at active construction and commissioning sites.
  • Hold a bachelor’s degree in electrical engineering or equivalent practical experience.

Nice to Have

  • Experience commissioning hyperscale, colocation, HPC, or AI data centers.
  • Experience supporting first energization and initial IT-load or GPU-cluster bring-up.
  • Familiarity with Level 1–5 commissioning, integrated systems testing, and operational-readiness processes.
  • Experience with protective-relay testing, breaker testing, insulation-resistance testing, power-quality analysis, or infrared inspections.
  • Experience using tools such as ETAP, SKM, EasyPower, Procore, Bluebeam, or commissioning-management platforms.
  • Experience investigating electrical failures and leading root-cause analysis.
  • Professional Engineer licensure, commissioning certification, or NETA-related experience.

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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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