Cerebras Systems

Cerebras Systems

AI Datacenter Infra engineer

Toronto, CAN

Sponsorship not specifiedDetected 29 days ago
PythonBashPowerShellComplianceLogisticsElectrical EngineeringCommunicationProblem Solving

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • 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.
  • OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

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.

Requirements

  • A bachelor's or master's degree in computer engineering, electrical engineering, computer science, or a related discipline-or equivalent practical experience.
  • Experience creating or working with rack elevations, equipment layouts, bills of materials, port maps, or cable maps.
  • Familiarity with data center power, cooling, space, cabling, and serviceability constraints.
  • Experience using Python, Bash, PowerShell, or another language to automate technical workflows.
  • The following experience is valuable but not required:
  • One or more years of relevant experience in infrastructure engineering, data center design, systems integration, hardware deployment, or a related field.
  • A practical understanding of server, storage, and networking hardware and how these systems are physically integrated.
  • 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.
  • Designing or deploying high-density AI, HPC, or large-scale compute clusters.
  • Working with high-speed Ethernet or InfiniBand networks, optical transceivers, fiber, DACs, or structured cabling.
  • Using infrastructure documentation, diagramming, DCIM, CAD, or source-controlled design tools.

Skills

  • Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
  • Every deployment presents different constraints.

Company info

  • 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.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.