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Lambda

Cloud-based GPU services for AI training

Data Center Construction Site Foreman

Construction ManagementConfirmed live in the last 24 hours
Full-timeSantiago de Querétaro, Qro., MexicoNo salary listed

About the Job

Requirements

  • High school diploma or equivalent is required.
  • At least 5 years of construction field experience, including at least 2 years in a foreman, lead, or superintendent capacity.
  • Direct experience with data center white space fit-out, critical facility construction, or comparable industrial and mission-critical installation work.
  • Working knowledge of electrical, mechanical, and low-voltage systems and installation practices, including power distribution, cooling, containment, and cabling.
  • Ability to read and interpret construction drawings, specifications, submittals, and installation instructions, and to produce accurate redlines.
  • OSHA 30 certification is required or must be obtained within 90 days of hire.
  • Ability to lift, climb, work at height, and remain on foot in active construction environments for extended periods.
  • Willingness to travel to and work within active construction sites approximately 75% of the time, including off-hours and weekend work during critical activities.

Responsibilities

  • Serve as the on-site lead for assigned data center projects and direct daily activity across MEP contractors, low-voltage and network installers, rack and integration crews, and OEM field service teams. Run daily huddles, set priorities, and ensure crews understand their scope, sequence, and constraints.
  • Oversee physical execution of white-space fit-out work, including rack and cabinet setting, containment, busway and branch-circuit distribution, rPDU installation, cable tray, structured cabling, liquid-cooling and CDU tie-ins, and airflow management. Verify installations against approved drawings and Lambda standards before work is covered or energized.
  • Enforce site safety requirements, energized-work permits, LOTO procedures, hot-work permits, and PPE compliance. Conduct daily safety walks, stop unsafe work, and lead incident and near-miss reporting with the data center provider and general contractor.
  • Perform in-progress and pre-cover inspections, torque and termination checks, labeling verification, and workmanship reviews. Build and drive punch lists to closure, reject non-conforming work, and confirm field corrections.
  • Deconflict overlapping trade work, sequence access to shared spaces and shafts, and coordinate outage and switching windows with the data center provider. Escort and manage vendor access, badging, tool and material handling, and compliance with site rules.
  • Receive, inspect, stage, and secure Owner-Furnished, Contractor-Installed equipment. Verify shipments against packing lists and submittals, immediately document damage and shortages, manage laydown and storage areas, and confirm material readiness before each installation window.
  • Own the three-week field lookahead. Track daily progress against the construction schedule, flag manpower and material gaps early, and provide the Implementation Project Manager with accurate percent-complete and constraint data.
  • Produce daily field reports covering manpower counts, completed work, deliveries, delays, safety observations, and photo documentation. Maintain redline markups, RFI and field-observation logs, and as-built notes for turnover.
  • Resolve constructability conflicts and field questions at the site level where possible. Generate RFIs with photos and drawing references when design or scope decisions are needed, and promptly escalate cost, schedule, or safety impacts.
  • Support pre-functional checks, Level 1 through Level 4 commissioning activities, and integrated systems testing. Coordinate contractor availability for scripts, witness testing when directed, and drive open-item closure through final acceptance and handoff to Data Center Operations.
  • Work with Network Engineering, Data Center Operations, HPC, Supply Chain, and Technical Project Management to sequence deployment, cabling, and hardware installation and turn over space ready for GPU deployment.

Desired Qualifications

  • A completed trade apprenticeship, journeyman license, technical certification, or associate degree in a construction or engineering discipline is strongly preferred.
  • Familiarity with NFPA 70E is preferred.
  • First Aid and CPR certification is a plus.
  • Familiarity with commissioning processes, pre-functional checklists, and punch-list closeout.
  • Familiarity with field reporting tools and project platforms such as Procore, Smartsheet, MS Project, or Monday.com, and mobile photo documentation.

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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