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Lambda

Cloud-based GPU services for AI training

Senior Electrical Delivery Engineer

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Significant experience delivering, commissioning, or operating electrical systems in data centers, mission-critical facilities, utilities, or large industrial environments.
  • Understanding of medium- and low-voltage distribution, including transformers, switchgear, protective relays, generators, UPS systems, busway, grounding, and rack-level power.
  • Ability to interpret single-line diagrams, equipment submittals, protection studies, relay settings, test reports, and construction documentation.
  • Hands-on experience with site inspections, electrical testing, energization, commissioning, or operational turnover.
  • Understanding of electrical safety, lockout/tagout, energized work controls, and applicable NEC, NFPA 70E, IEEE, and NETA requirements.
  • Ability to distinguish cosmetic deficiencies from conditions that create material safety, reliability, or operational risk.
  • Ability to make field decisions, escalate critical issues, and coordinate corrective work under schedule pressure.
  • Bachelor’s degree in electrical engineering or equivalent practical experience.
  • Willingness to travel extensively and spend extended periods at active construction and commissioning sites.

Responsibilities

  • 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.

Desired Qualifications

  • 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 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.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

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