L

Lambda

Cloud-based GPU services for AI training

Construction Administrator

Full-TimeUpdated on 10/23/2026
$155k - $207k/yr+ Equity compensation + 401(k) match: 2%
Mid, Senior
Bachelor's
San Jose, CA, USA
HybridHybrid in San Jose; occasional travel to data center sites (~15%).
Architecture & Civil EngineeringConstruction Management

About the job

Requirements
  • Bachelor’s degree in Construction Management, Engineering, Business, or a related field, or equivalent practical experience.
  • At least 4 years of experience in construction administration, project controls, document control, or project coordination; data center or mission-critical project experience is ideal.
  • Working knowledge of construction schedules, including critical path method, milestones, float, and lookahead planning.
  • Familiarity with construction documentation workflows, including drawings, specifications, submittals, RFIs, change orders, and closeout packages.
  • Proficiency with Primavera P6 or MS Project, plus documentation and collaboration platforms such as Procore, Smartsheet, SharePoint, Google Workspace, Jira, or Monday.com.
  • Advanced spreadsheet skills, including building trackers, pivots, and reporting views.
  • Basic understanding of MEP systems and construction sequencing sufficient to interpret technical documents and ask relevant questions.
  • Willingness to travel occasionally to data center sites, approximately 15%, for turnover, closeout, or program milestones.
  • Ability to manage competing deadlines across multiple concurrent projects with minimal supervision.
  • Strong written communication and documentation skills, with attention to accuracy and consistency.
  • Commitment to continuous improvement in project delivery, documentation standards, and reporting practices.
  • Ability to interpret, analyze, and distill contractor schedules into milestone and executive-level views, including critical path and float analysis.
  • Proven ownership of drawing registers, submittal and RFI logs, revision control, transmittals, as-built documentation, and closeout documentation.
  • Ability to build and maintain accurate recurring status reports, dashboards, and trackers across multiple concurrent projects.
  • Hands-on experience with project management and documentation platforms such as Primavera P6, MS Project, Procore, Smartsheet, and advanced spreadsheet work.
  • Track record of driving action items, review turnarounds, and documentation compliance across internal teams, contractors, and providers.
  • Ability to read contractor schedules critically, understand logic ties, float, critical path, and identify schedule risk.
  • Comfort with construction drawings, specifications, submittals, RFIs, and MEP and mission-critical terminology.
  • Ability to turn scattered inputs into dashboards using data and reporting tools.
  • Ability to communicate project status clearly to executives while retaining important detail.
  • Discretion and care when handling confidential contract, cost, and vendor information.
Responsibilities
  • Ingest contractor and vendor schedules across multiple concurrent projects; extract critical path, key milestones, long-lead deliveries, and float consumption; consolidate them into program-level and executive-level schedule views; and flag slippage, sequencing conflicts, and milestone risk.
  • Maintain the integrated program schedule and milestone tracker, reconcile contractor updates against baseline, maintain revision history, and align OFCI delivery dates, commissioning windows, and capacity ready-for-service dates.
  • Own the project document control system, including drawing registers, specifications, submittal logs, RFI logs, transmittals, meeting minutes, permits, inspection records, and as-builts; enforce naming conventions, revision control, and access permissions.
  • Log, route, and track submittals and RFIs to internal reviewers, monitor turnaround against contractual review windows, follow up on overdue responses, and maintain an audit trail of decisions and approvals.
  • Track change orders, change directives, and potential change items from initiation through disposition; maintain supporting documentation and reconcile the change log against budget trackers, purchase orders, and invoices with procurement and finance.
  • Produce weekly project status reports, milestone dashboards, open-item and risk registers, and monthly program summaries for executive leadership; ensure figures align across schedule, cost, and field reporting.
  • Prepare agendas and materials for OAC, design review, and page-turn meetings; capture minutes and decisions, publish action items with owners and due dates, and follow through to closure.
  • Assemble and quality-check closeout packages, including as-builts, O&M manuals, warranties, commissioning reports, and training records; ensure timely handoff to Data Center Operations and Facilities.
  • Administer and improve the project management and documentation platforms used by DCIE; build templates, trackers, and automated reporting to reduce manual effort and standardize project practices.
  • Maintain the controlled library of Basis of Design documents, standard details, specifications, and internal procedures, keeping versions current and accessible.
  • Support Network Engineering, Data Center Operations, HPC, Supply Chain, and TPM with accurate schedule and documentation inputs for downstream deployment planning.
Desired Qualifications
  • Experience with construction administration, project controls, or document control on complex construction or critical infrastructure programs, ideally data center or mission-critical projects.
  • Experience with dashboarding or light automation.

About the company

Lambda Labs provides cloud-based GPU services for AI training and inference. Its AI Developer Cloud runs on NVIDIA GH200 Grace Hopper hardware to train large language models and generative AI, offering on-demand and reserved GPUs billed by the hour (for example, $1.99/hour for H100). It differentiates itself through competitive pricing, high availability, and an integrated ML stack with Lambda Stack for easy installation of PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers, plus Lambda Echelon for owning infrastructure with hosting and support. Its goal is to make scalable AI development and deployment affordable by providing flexible GPU access, reliable hosting, and streamlined 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, California

Founded

2012

Get referred to Lambda

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • October 1, 2026, Lambda closed $1 billion fixed-rate debt for contracted deployments.
  • August 31, 2026 Reuters reported Anthropic's $35 billion Lambda deal for Texas capacity.
  • May 2026 leadership changes installed Michel Combes and John Donovan for scale execution.

What critics are saying

  • Lambda's growth now depends on Nvidia chip allocation and pricing, tightening margins immediately.
  • October 1 financing secures three deployments; one canceled off-take strains highly levered infrastructure economics.
  • A failed hyperscale customer ramp, especially Anthropic, threatens refinancing and a pre-IPO exit.

What makes Lambda unique

  • Lambda pairs bare-metal GPU clouds with on-prem hardware and software, simplifying full-stack AI deployment.
  • At GTC 2026, Lambda announced early Vera Rubin NVL72 bare-metal instances for H2 2026.
  • Lambda runs production-scale infrastructure, including Quantum-X InfiniBand Photonics on 10,000-GPU GB300 clusters.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Unlimited Paid Time Off
  • Wellness Program
  • Commuter Benefits

Growth & Insights and Company News

6 month growth

-1%

1 year growth

2%

2 year growth

0%
Yahoo Finance
Oct 22nd, 2026
Neoclouds explained: GPU providers behind the AI boom face a $3.5T impairment risk

Neoclouds, specialist providers that rent out GPU capacity for AI training and inference, have gone from unknown startups to listed companies with contracts worth billions of dollars. CoreWeave, Nebius and IREN lead the listed group; Lambda, Crusoe and Fluidstack remain private. Their shares fell hard in October 2026. CoreWeave dropped 29%, leaving it valued at about $34 billion against a 2025 peak of about $90 billion; Nebius fell 27% and IREN 32%. CoreWeave's unsecured debt yielded about 15%. On October 14, 2026, Gartner predicted that more than 80% of neocloud providers will stop operating independently by 2030. It also warned that more than $3.5 trillion of AI infrastructure spending could face impairment. Demand remains strong. CoreWeave co-founder Brannin McBee said nearly all of its 2027 capacity is sold.

The Wall Street Journal
Oct 6th, 2026
Exclusive | AI-Computing Startup Lambda Is Raising $4 Billion in Final Round Before Planned IPO

The Nvidia-backed company is targeting an IPO in 2027.

Yahoo Finance
Sep 1st, 2026
Anthropic signs $35B cloud deal with Nvidia-backed Lambda for Texas data centre

Anthropic has signed a $35 billion cloud-computing agreement with Nvidia-backed Lambda, the Wall Street Journal reported. The deal gives Anthropic access to computing capacity from a Texas data centre being developed by Hut 8, a Bitcoin miner turned data centre operator. Nvidia secured capacity at the facility, whilst Lambda will deploy Nvidia chips and provide computing resources to Anthropic. The arrangement's financial terms remain unclear. Anthropic's annualised revenue run rate reportedly reached $65 billion by end-July. The structure highlights Nvidia's expanding role beyond selling AI chips. Anthropic previously agreed to spend $45 billion over six years with another Nvidia-backed provider, Nscale. In April, Amazon announced Anthropic plans to spend over $100 billion on AWS technology over the next decade.

Associated Press
Aug 27th, 2026
Lambda closes $926M term loan B to fund GPU infrastructure for investment-grade customer

Lambda has closed a $926 million senior secured term loan B facility to fund GPU infrastructure for an investment-grade customer. The facility, priced at SOFR + 3.00% and issued at 99.5% of principal, received a Baa2 rating from Moody's. This marks Lambda's first large-scale private cloud GPU asset-backed financing and the first broadly syndicated, investment-grade-rated term loan B by a private neocloud. The facility matures on 31 December 2030 and is secured by the GPU servers and related infrastructure it funds. The closing follows Lambda's $1 billion senior secured credit facility announced in May 2026. Morgan Stanley acted as lead left arranger, bookrunner, and administrative agent, with MUFG serving as joint bookrunner.

The Next Web
Aug 25th, 2026
Lambda is raising up to $3bn before an IPO, months after borrowing $917m for chips

Nvidia-backed Lambda is in talks for up to $3bn in pre-IPO financing at a valuation of $12bn or more, ahead of a listing next year.