AI Data Center Infra Engineer: Design & Scale Deployments

Cerebras Systems; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Cerebras Systems is seeking an AI Data Center Infrastructure Engineer to translate cluster architectures into deployment-ready designs. You will define rack layouts, BOMs, power, port maps, and cable mappings for compute, network, and storage systems.

You will adapt reference designs to site constraints and automate workflows to speed deployments while ensuring performance, reliability, and scalability across hardware and software teams.

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.

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-causes 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.

Skills

Infrastructure engineering

Python

Bash

PowerShell

Automation workflows

Analytical skills

Attention to detail

Cross-disciplinary collaboration

Communication skills

Education

Bachelor’s or Master’s degree in computer engineering, electrical engineering, computer science, or related discipline

Tools

Python

Bash

PowerShell

Job description

Cerebras Systems is seeking an AI Data Center Infrastructure Engineer to translate cluster architectures into deployment-ready designs. You will define rack layouts, BOMs, power, port maps, and cable mappings for compute, network, and storage systems.

You will adapt reference designs to site constraints and automate workflows to speed deployments while ensuring performance, reliability, and scalability across hardware and software teams.