Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About the Role
As Senior Counsel, Data Center & Infrastructure, you will support the Global Data Centers team with acquisitions, development projects, and other infrastructure transactions. You will manage deals throughout their lifecycle, negotiate key agreements, and provide legal guidance on issues as data centers transition from acquisition to operation.
The role offers hands-on work in a fast-developing area and the chance to deepen expertise across real estate, construction, supply chain and compute infrastructure while contributing directly to the company’s expansion.
Responsibilities
Execute data center acquisitions and other digital infrastructure transactions, including diligence, negotiation and closing.
Negotiate colocation agreements, powered-shell and build-to-suit leases, capacity reservation and development agreements, and connectivity contracts.
Advise on post-acquisition matters, including construction, design, long-lead equipment and supply chain transactions.
Address regulatory questions and disputes arising from infrastructure projects, and collaborate across teams to manage interdependencies and risk.
Qualifications
6+ years of direct legal experience with or at data center providers, neo-clouds or hyperscalers on infrastructure transactions.
Fluency in technical terms involving compute infrastructure, hardware specifications, data center operations, long-lead equipment, supply chain, and power and utilities requirements.
Experience negotiating real estate or physical infrastructure agreements, including colocation agreements, powered-shell and build-to-suit leases, capacity arrangements and connectivity agreements.
Experience with transaction diligence, regulatory issues and dispute resolution related to data center or infrastructure projects.
Practical judgment, initiative and the ability to learn adjacent practice areas and adapt as priorities evolve.
J.D. and active bar admission required. A mix of leading law firm and in-house experience is preferred.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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Job details are sourced from the employer's original posting.
Open job postingAbout the company
Cerebras Systems is building a new class of computer to accelerate artificial intelligence work by training neural networks much faster than conventional systems.