---
title: 'Infrastructure & Energy Transaction Counsel at Lambda'
canonical: 'https://feeny.ai/job/infrastructure-energy-transaction-counsel-lambda-san-francisco-r7k5bvrfz8rz'
type: 'job'
last_seen: '2026-09-06'
---

# Infrastructure & Energy Transaction Counsel at Lambda

- **Company:** Lambda
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-01
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lambda/fbfaab3b-9803-4ce6-9501-1e9a6ed77288

## Job description

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.

*Note: This position requires presence in our San Francisco or upcoming New York City office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

As Lambda continues its rapid growth, and our data center footprint continues scaling, our legal team is expanding its infrastructure, corporate development, and power capabilities. We are seeking an Infrastructure & Energy Transaction Counsel to serve as a primary deal lawyer on our multi-billion-dollar-scale physical infrastructure investments.

In this role, you will take end-to-end ownership of the legal structuring, drafting, and negotiation of complex transactions across our portfolio of leased data centers and the data centers we develop ourselves through land and power acquisitions. You'll partner closely with leaders across strategy, site development, power, engineering, procurement, and finance to execute the infrastructure deals that will shape Lambda's next chapter of growth. This role demands high responsiveness, versatility, and absolute ownership, and you thrive under exactly that kind of pressure.

## What You’ll Do

- Deal Negotiation & Structuring: Lead the commercial negotiation and documentation of development deals, complex site leasing, real estate acquisitions, joint ventures as well as real estate and project financing.
- Power & Utility Management: Structure and manage specialized contracts critical to hyperscale deployments, including corporate Power Purchase Agreements, utility interconnection agreements, behind-the-meter generation frameworks, and storage systems.
- Construction & Project Development: Draft, review, and negotiate construction contracts, engineering services agreements, and design-build documents tailored for infrastructure handling gigawatts of power.
- Finance & Incentive Support: Partner with corporate development, tax and other teams to support project finance elements, tax incentives, and intricate lease arrangements that enable massive capital deployment.
- Cross-Functional Collaboration: Align legal risk frameworks closely with technical engineering, security, business development, and strategic financial models.
- Outside Counsel Oversight: Direct and manage specialized outside counsel on complex regulatory or regional matters while maintaining strictly focused in-house strategic judgment.

You

- 6+ years of legal experience running complex commercial transactions, ideally split between an elite AmLaw law firm and an innovative, fast-moving infrastructure or technology company.
- Deep infrastructure expertise with 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, displaying a clear understanding of data centers, wholesale electricity markets (e.g., ERCOT, PJM), utility interconnections, and emerging AI hardware stacks.
- Solution-oriented commercial mindset with an ability to demonstrate sound, definitive judgment in high-stakes, highly ambiguous situations.
- Elite communication abilities, with a demonstrated capacity to accurately and concisely bridge technical engineering needs with legal protections.
- A JD from an accredited law school and an active bar membership in at least one U.S. state.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

## About Lambda

- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use

## Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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