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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top 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. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.
Job Responsibility:
Drive the design of MEP infrastructure—reviewing drawings and proposals across all project stages
Partner with vendors to spec, source, and manage key systems: generators, UPS, chillers, CDUs
Provide deep technical guidance on facility architecture, equipment, and operational systems—anchored in industry best practices
Integrate power, cooling, network, and construction systems into a cohesive data center design and operational model
Shape operational workflows—from design specs through commissioning, pilot validation, and go-live readiness
Set technical direction for internal teams and external partners—ensuring alignment with standards and execution excellence
Manage contractors and consultants—building strong vendor relationships
Ensure uptime and performance of critical infrastructure—power, cooling, and networking systems
Own QA and risk mitigation—ensuring safety and operational compliance
Requirements:
10+ years in data center design, operations, and maintenance
Proven leadership in large-scale data center environments
Deep expertise in MEP systems and critical infrastructure
Strong grasp of data center architecture, workflows, and systems integration
Hands-on experience with critical equipment and vendor management
Track record of successful equipment selection, installation, and bring-up
Experience navigating regulatory compliance and design standards
Clear communicator and collaborator across engineering and business teams
Solid understanding of construction and architectural principles
Bachelor’s in engineering or related field
advanced degree preferred
Professional engineering certification preferred
What we offer:
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