Construction Onsite Foreman
Job Description
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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.
If you'd like to build the world's best AI cloud, join us.
Travel: 75% sustained on-site presence required at active data center construction and fit-out sites.
What You’ll Do
As a Construction Onsite Foreman, you are Lambda’s eyes, ears, and hands in the field. You will hold daily on-site command of colocation white space fit-outs, high-density compute expansions, and infrastructure upgrades, working under the Data Center Implementation Manager and alongside the Data Center Implementation Project Manager to turn drawings and schedules into installed, energized, and accepted capacity.
You will direct and coordinate trade crews and vendor teams on the floor, sequence work across electrical, mechanical, low voltage, and network scopes, enforce safety and quality standards, and keep material and equipment flowing to the point of install. You will catch field conflicts before they become schedule impacts, escalate what cannot be solved at the site level, and own the daily record of what actually happened on your job.
Key Responsibilities
Daily Field Supervision:
- Serve as Lambda’s on-site lead for assigned data center projects. Direct daily activity across MEP contractors, low voltage and network installers, rack and integration crews, and OEM field service teams. Run daily huddles, set the day’s priorities, and confirm each crew knows its scope, sequence, and constraints.
Fit-Out & Installation Oversight:
- 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 match approved drawings and Lambda standards before work is covered or energized.
Safety Leadership:
- Enforce site safety requirements, energized work permits, LOTO procedures, hot work permits, and PPE compliance. Conduct daily safety walks, stop unsafe work immediately, and lead incident and near-miss reporting with the data center provider and general contractor.
Quality Control & Inspections:
- Perform in-progress and pre-cover inspections, torque and terminations checks, labeling verification, and workmanship reviews. Build and drive punch lists to closure, rejecting non-conforming work and confirming corrections in the field.
Trade & Vendor Coordination:
- Deconflict overlapping trade work, sequence access to shared space and shafts, and coordinate outage and switching windows with the data center provider. Escort and manage vendor access, badging, tool and material handling, and site rules compliance.
OFCI Material Management:
- Receive, inspect, stage, and secure OFCI (Owner-Furnished, Contractor-Installed) equipment. Verify shipments against packing lists and submittals, document damage and shortages immediately, manage laydown and storage areas, and confirm material readiness ahead of each install window.
Schedule Support & Lookaheads:
- Own the three-week lookahead in the field. 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.
Field Documentation & Reporting:
- Produce daily field reports covering manpower counts, work completed, deliveries, delays, safety observations, and photo documentation. Maintain redline markups, RFI and field observation logs, and as-built notes for turnover.
Issue Resolution & Escalation:
- Resolve constructability conflicts and field questions at the site level where possible. Generate clear RFIs with photos and drawing references when a design or scope decision is needed, and escalate cost, schedule, or safety impacts without delay.
Commissioning & Turnover Support:
- Support pre-functional checks, Level 1 through Level 4 commissioning activities, and integrated systems testing. Coordinate contractor availability for scripts, witness testing where directed, and drive open-item closure through final acceptance and handoff to Data Center Operations.
Cross-functional Alignment:
- Work closely with Network Engineering, Data Center Operations, HPC, Supply Chain, and Technical Project Management so that deployment, cabling, and hardware install activities land in the right sequence and space is turned over ready for GPU deployment.
Ideal Candidate Profile
- Comes from the trades, with a working foreman’s command of how mission-critical space actually gets built, installed, and energized.
- Experienced running crews and vendors in live and occupied data center environments where uptime and adjacency risk are unforgiving.
- Fluent in reading and marking up construction drawings, single lines, riser diagrams, submittals, and installation details.
- Sets a visible safety standard and is comfortable stopping work and holding contractors to it, including under schedule pressure.
- Detail-driven on workmanship, labeling, torque, containment, and cable management, with a low tolerance for shortcuts that create operational debt.
- Organized in the field with materials, tools, laydown, and deliveries, and disciplined about documenting what happened each day.
- Direct and clear communicator who can brief a project manager, challenge a contractor, and write a usable daily report.
- Comfortable working with limited oversight, making sound calls on site, and knowing precisely when to escalate.
- Proficient with mobile field tools, photo documentation, and punch list and project tracking platforms.
- Willing to travel to project sites and to work off-hours, nights, or weekends when critical activities or outage windows require it.
Top Five Requirements
Hands-On Data Center or Mission-Critical Field Experience:
- Proven record supervising construction, fit-out, or infrastructure installation work in data centers or comparable mission-critical facilities.
Crew & Trade Supervision:
- Demonstrated ability to direct and sequence multiple trades and vendors on a live site, holding daily accountability for scope, pace, and workmanship.
MEP & Low Voltage Installation Knowledge:
- Practical command of electrical distribution, mechanical and cooling systems, containment, and structured cabling, with the ability to read drawings and catch field conflicts.
Safety Ownership:
- Consistent enforcement of site safety, LOTO, energized work, and permitting requirements, with the authority and willingness to stop unsafe work.
Field Documentation & Reporting Discipline:
- Reliable daily reporting, photo documentation, redlines, punch list management, and clear escalation to project management.
Qualifications
- High school diploma or equivalent required. Completed trade apprenticeship, journeyman license, technical certification, or associate degree in a construction or engineering discipline strongly preferred.
- 5+ years of construction field experience, including 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 required or obtained within 90 days of hire. NFPA 70E familiarity preferred. First Aid and CPR certification a plus.
- Familiarity with commissioning processes, pre-functional checklists, and punch list closeout.
- Comfortable with field reporting tools and project platforms (e.g., Procore, Smartsheet, MS Project, Monday.com) and with mobile photo documentation.
- Able 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 (~75%), including off-hours and weekend work during critical activities.
- Committed to safety, quality, and continuous improvement in field execution practices.
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Lambda
View Company ProfileLambda (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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