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AI Datacenter Infra engineer

Cerebras· Software Engineering
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Hybrid (Toronto, CAN), Hybrid (Remote (US)), Hybrid (Sunnyvale, CA)Full-timePosted 4w ago

About the role

Role seeking an AI Data Center Infrastructure Engineer to translate cluster architectures into deployment-ready infrastructure designs and automate design workflows for scalable data center deployments.

Responsibilities

  • Translate cluster architectures and technical requirements into complete, deployment-ready infrastructure designs.
  • Produce and maintain rack elevations, equipment layouts, bills of materials, power allocations, port maps, and cable maps.
  • Adapt reference designs to site-specific constraints involving space, power, cooling, network connectivity, logistics, and hardware availability.
  • Validate that compute, storage, networking, power, and cabling designs work together as an integrated system.
  • Evaluate design trade-offs and recommend practical solutions that balance performance, reliability, scalability, cost, serviceability, and deployment schedule.
  • Partner with systems, network, hardware, manufacturing, supply-chain, and data center operations teams throughout the design and deployment process.
  • Participate in design and deployment-readiness reviews, identifying risks, inconsistencies, and missing requirements before installation begins.
  • Support deployment teams by resolving physical integration issues and documenting approved design changes.
  • Contribute to root-cause analysis when deployment or integration problems occur, and incorporate lessons learned into future designs.
  • Develop scripts and tools that automate design generation, BOM creation, cable mapping, consistency checks, and other repeatable workflows.
  • Improve templates, standards, documentation, and design processes so deployments become increasingly repeatable and scalable.

Qualifications

  • A bachelor’s or master’s degree in computer engineering, electrical engineering, computer science, or a related discipline—or equivalent practical experience.
  • One or more years of relevant experience in infrastructure engineering, data center design, systems integration, hardware deployment, or a related field.
  • Experience creating or working with rack elevations, equipment layouts, bills of materials, port maps, or cable maps.
  • A practical understanding of server, storage, and networking hardware and how these systems are physically integrated.
  • Familiarity with data center power, cooling, space, cabling, and serviceability constraints.
  • Experience using Python, Bash, PowerShell, or another language to automate technical workflows.
  • Strong analytical skills and close attention to detail.
  • The ability to turn incomplete or changing requirements into clear, actionable designs.
  • Clear written and verbal communication skills, including the ability to collaborate across several engineering disciplines.

Skills

Required:Cluster architecture translationRack elevations and BOMsSite adaptationSystems integration validationDesign trade-offsAutomation scripting
Nice to have:Documentation and standards
Last updated Sep 27, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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