AI Datacenter Infra engineer

Cerebras
Toronto, Sunnyvale
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 1+ yearsEducation: high_schoolSkills: ["Analytical skills","Attention to detail","Problem-solving","Written and verbal communication","Collaboration"]

Own the critical bridge between cluster architecture and deployment-ready data center infrastructure designs, including rack layouts, equipment placement, bills of materials, power requirements, and port/cable mappings across compute, network, and storage. Adapt reference designs to site constraints and validate integrated system performance. Automate design generation and checks with scripts and reusable frameworks, partnering across hardware, networking, supply chain, and data center operations to support deployments and resolve integration issues.

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FursaFursa
Cerebras
Cerebras
18 hours ago

AI Datacenter Infra engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own the critical bridge between cluster architecture and deployment-ready data center infrastructure designs, including rack layouts, equipment placement, bills of materials, power requirements, and port/cable mappings across compute, network, and storage. Adapt reference designs to site constraints and validate integrated system performance. Automate design generation and checks with scripts and reusable frameworks, partnering across hardware, networking, supply chain, and data center operations to support deployments and resolve integration issues.
Location: Toronto, Sunnyvale
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key 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 constraints involving space, power, cooling, network connectivity, logistics, and hardware availability.
  • •Validate integrated operation across compute, storage, networking, power, and cabling, evaluating trade-offs and recommending practical solutions.
  • •Build tools and automation (scripts, validation checks, reusable design frameworks) and support deployment teams by resolving physical integration issues and documenting approved changes.

Key Requirements

  • •Bachelor’s or master’s degree in computer engineering, electrical engineering, computer science, or a related field—or equivalent practical experience.
  • •1+ years of 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 how these systems physically integrate.
  • •Experience using Python, Bash, PowerShell, or another language to automate technical workflows.
Experience:1+ yearsData centerInfrastructure engineeringSystems integrationAIHPC
Education:High School
Skills:Analytical skillsAttention to detailProblem-solvingWritten and verbal communicationCollaboration
Tech Stack:PythonBashPowerShellInfiniBandEthernetDCIMCAD

Company Brief

Cerebras
Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.
Industry: Hardware Devices
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2016
WebsiteLinkedIn