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Cerebras

AI accelerator hardware replacing GPUs

Managing Counsel - Data Center & Infrastructure

Legal Counsel & Legal SupportConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USANo salary listedHybrid

About the Job

Requirements

  • At least 10 years of direct legal experience with or at data center providers, neo-clouds, or hyperscalers, focused on real estate and physical infrastructure transactions.
  • Experience negotiating complex leases or colocation agreements.
  • Ability to lead sophisticated transactions across business and technical teams, manage interdependencies, and advance deals.
  • Ability to negotiate technical terms involving compute infrastructure, hardware specifications, data center operations, equipment, power, and utilities requirements.
  • Experience with transaction diligence, regulatory issues, and dispute resolution, and ability to learn adjacent practice areas.
  • Practical judgment and a hands-on approach as priorities evolve.
  • A J.D. and active bar admission are required.

Responsibilities

  • Lead the end-to-end legal strategy for data center acquisitions and other digital infrastructure transactions, including diligence, deal structuring, financing components, negotiation, and closing.
  • Negotiate single-tenant, powered-shell, and build-to-suit leases; colocation, capacity reservation, development, and connectivity agreements.
  • Manage long-term legal relationships with data center operators and lessors, financing sources, and customers purchasing capacity.
  • Advise on post-acquisition matters, including construction, design, long-lead equipment, supply chain, regulatory issues, and disputes.
  • Advise on corporate structure, governance, and risk in connection with infrastructure transactions.

Desired Qualifications

  • Familiarity with single-tenant facilities and behind-the-meter power arrangements is particularly valuable.
  • A mix of leading law firm and in-house experience is preferred.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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