Datacenter Architect

Posted Yesterday
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2 Locations
Remote or Hybrid
Expert/Leader
Artificial Intelligence • Hardware • Software • Semiconductor
The Role
Lead development of Basis of Design and standardized reference architectures for high-density AI data centers. Define power, cooling, mechanical and electrical infrastructure requirements, review vendor designs, ensure compliance with ASHRAE/NEC/NFPA/ISO, and support commissioning, FAT/SAT and operational readiness with internal teams and external EPC/colo partners.
Summary Generated by Built In

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.

The Role

We are looking for an experienced and technically proficient Data Center Architect to lead the technical development of data center infrastructure standards and deployment designs supporting Cerebras AI systems. This role will develop the Basis of Design (BoD) for power, cooling, mechanical, electrical and supporting infrastructure while partnering with internal manufacturing, hardware, mechanical, electrical, thermal and systems engineering teams. The Architect will work closely with external colocation providers, design consultants, EPC firms and equipment vendors to deliver standardized, scalable, high-density AI data center solutions that meet Cerebras performance, reliability and deployment objectives.

Responsibilities
  • Develop and own the Basis of Design (BoD) for AI data center deployments.

  • Partner with internal manufacturing, mechanical, electrical, thermal, networking and hardware engineering teams to define infrastructure requirements.

  • Develop standardized reference architectures and deployment templates.

  • Work with colocation providers, EPC firms, engineering consultants and OEMs to review and validate designs.

  • Lead technical reviews for power distribution, liquid cooling, CDU architecture, chilled water systems and heat rejection.

  • Define infrastructure requirements for high-density AI clusters emphasizing scalability, reliability and maintainability.

  • Review vendor drawings, calculations and equipment selections for compliance with Cerebras standards.

  • Ensure compliance with ASHRAE, NEC, NFPA, ISO and applicable regional codes.

  • Support commissioning planning, FAT, SAT and operational readiness.

  • Continuously improve design standards by evaluating emerging technologies and lessons learned.

Skills & Qualifications

Minimum
  • Bachelor's or master’s degree in mechanical engineering, Electrical Engineering, Architectural Engineering or related field.

  • 10+ years of mission-critical or hyperscale data center design experience.

  • Experience developing Basis of Design (BoD) documentation and technical standards.

  • Strong knowledge of high-density liquid cooling, power distribution, UPS, generators, switchgear, CDUs, chillers and cooling systems.

  • Experience collaborating with multidisciplinary engineering teams and external design partners.

  • Knowledge of ASHRAE, Uptime Institute, NEC, NFPA and ISO standards.

  • Excellent communication and technical leadership skills.

Preferred
  • Professional Engineer (PE) license.

  • Experience supporting AI infrastructure or semiconductor deployments.

  • Experience with commissioning and operations of large-scale data centers.

  • Familiarity with global colocation providers and EPC delivery models.

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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.

  2. Publish and open source their cutting-edge AI research.

  3. Work on one of the fastest AI supercomputers in the world.

  4. Enjoy job stability with startup vitality.

  5. 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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Skills Required

  • Bachelor's or Master's degree in Mechanical, Electrical, Architectural Engineering or related field
  • 10+ years of mission-critical or hyperscale data center design experience
  • Experience developing Basis of Design (BoD) documentation and technical standards
  • Strong knowledge of high-density liquid cooling, CDUs, chillers and chilled water systems
  • Strong knowledge of power distribution, UPS, generators and switchgear
  • Experience collaborating with multidisciplinary engineering teams and external design partners
  • Knowledge of ASHRAE, Uptime Institute, NEC, NFPA and ISO standards
  • Excellent communication and technical leadership skills
  • Professional Engineer (PE) license
  • Experience supporting AI infrastructure or semiconductor deployments
  • Experience with commissioning and operations of large-scale data centers (FAT, SAT, operational readiness)
  • Familiarity with global colocation providers and EPC delivery models
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The Company
774 Employees
Year Founded: 2015

What We Do

Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.

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