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Lambda

Cloud-based GPU services for AI training

Infrastructure & Energy Transaction Counsel

Legal Counsel & Legal SupportConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 6 years of legal experience running complex commercial transactions.
  • Deep infrastructure expertise and a proven track record of managing a heavy workload, prioritizing risk efficiently, and closing multi-hundred-million- and billion-dollar transactions on accelerated schedules.
  • Strong technical and energy market literacy, including understanding data centers, wholesale electricity markets such as ERCOT and PJM, utility interconnections, and emerging AI hardware stacks.
  • A solution-oriented commercial mindset and ability to demonstrate sound, definitive judgment in high-stakes, highly ambiguous situations.
  • Ability to accurately and concisely bridge technical engineering needs with legal protections.
  • A JD from an accredited law school and active bar membership in at least one U.S. state.

Responsibilities

  • Lead commercial negotiation and documentation of development deals, complex site leasing, real estate acquisitions, joint ventures, and real estate and project financing.
  • Structure and manage contracts critical to hyperscale deployments, including corporate Power Purchase Agreements, utility interconnection agreements, behind-the-meter generation frameworks, and storage systems.
  • Draft, review, and negotiate construction contracts, engineering services agreements, and design-build documents for infrastructure handling gigawatts of power.
  • Partner with corporate development, tax, and other teams to support project finance elements, tax incentives, and complex lease arrangements.
  • Align legal risk frameworks with technical engineering, security, business development, and strategic financial models.
  • Direct and manage specialized outside counsel on complex regulatory or regional matters while maintaining in-house strategic judgment.

Desired Qualifications

  • Experience ideally split between an elite AmLaw law firm and an innovative, fast-moving infrastructure or technology company.

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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