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Cerebras

AI Datacenter Infra Engineer

Cerebras

. Translate cluster architectures and technical requirements into complete, deployment-ready infrastructure designs .

Posted 9/21/2026full-timeToronto • CanadaJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in infrastructure engineering and data center design, with a strong focus on creating deployment-ready designs and automating workflows. Proficient in collaborating across engineering disciplines to ensure effective integration of hardware and systems.

Highest-signal resume keywords
Infrastructure EngineeringData Center DesignAutomation Using PythonRack Elevations and Equipment LayoutsAnalytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Infrastructure DesignSystems IntegrationHardware DeploymentBOM CreationCable MappingServer Hardware IntegrationNetworking Hardware IntegrationPower and Cooling ConstraintsHigh-Speed EthernetInfiniBand Networks
Soft Skills
Attention to DetailClear CommunicationCollaboration
Tools & Technologies
DCIM ToolsCAD SoftwareSource-Controlled Design ToolsAutomation Scripts
Industry Keywords
Data Center OperationsDeployment ReadinessRoot-Cause AnalysisLogistics ConstraintsServiceability

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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 space, power, cooling, connectivity, logistics, and hardware constraints
  • Validate compute, storage, networking, power, and cabling designs as an integrated system
  • Evaluate trade-offs balancing performance, reliability, scalability, cost, serviceability, and deployment schedule
  • Partner with systems, network, hardware, manufacturing, supply-chain, and data center operations teams
  • Participate in design and deployment-readiness reviews and identify risks, inconsistencies, and missing requirements
  • Support deployment teams by resolving physical integration issues and documenting approved design changes
  • Contribute to root-cause analysis of deployment or integration problems
  • Develop scripts and tools to automate design generation, BOM creation, cable mapping, consistency checks, and repeatable workflows
  • Improve templates, standards, documentation, and design processes for repeatable, scalable deployments

Requirements

What you’ll need
  • 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
  • Practical understanding of server, storage, and networking hardware and their physical integration
  • 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
  • Ability to turn incomplete or changing requirements into clear, actionable designs
  • Clear written and verbal communication skills and ability to collaborate across engineering disciplines
  • Experience with high-speed Ethernet or InfiniBand networks, optical transceivers, fiber, DACs, or structured cabling is valuable but not required
  • Experience using infrastructure documentation, diagramming, DCIM, CAD, or source-controlled design tools is valuable but not required
  • Experience developing automated validation, configuration-generation, or infrastructure-modeling tools is valuable but not required
  • Experience supporting data center deployment, commissioning, hardware integration, or deployment-related incident analysis is valuable but not required
  • Experience working with contract manufacturers, colocation providers, installation partners, or supply-chain teams is valuable but not required

Benefits

Comp & perks
  • Build a breakthrough AI platform beyond the constraints of the GPU
  • Publish and open source cutting-edge AI research
  • Work on one of the fastest AI supercomputers in the world
  • Job stability with startup vitality
  • Simple, non-corporate work culture that respects individual beliefs
  • Equal and diverse work environment
  • Continuous learning, growth and support