AI Data Center Infrastructure Architect

Cerebras Systems; California (MO); On-site; USD 120,000 - 190,000; Full time

Job summary

Cerebras Systems is seeking an AI Data Center Infrastructure Engineer to turn high-level cluster designs into deployment-ready infrastructure. You’ll define rack layouts, BOMs, power needs, and cable mappings for compute, storage, and networking, while adapting designs to site constraints and coordinating with cross-functional teams.

You will build automation, validation checks, and reusable design frameworks to speed deployments, improve accuracy, and enable scalable operations in a data-center

Qualifications

• Bachelor’s or Master’s degree in computer engineering, electrical engineering, computer science, or related discipline—or equivalent practical experience.
• One or more years of relevant experience in infrastructure engineering, data center design, systems integration, or related field.
• Experience creating or working with rack elevations, equipment layouts, BOMs, port maps, or cable maps.
• 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.
• Ability to turn changing requirements into clear designs.
• Clear written and verbal communication across engineering disciplines.

Responsibilities

• Translate cluster architectures into deployment-ready infrastructure designs.
• Produce and maintain rack elevations, equipment layouts, BOMs, power allocations, port maps, and cable maps.
• Adapt reference designs to site constraints involving space, power, cooling, network connectivity, logistics, and hardware availability.
• Validate that compute, storage, networking, power, and cabling designs work as an integrated system.
• Evaluate design trade-offs and recommend practical solutions 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, identifying risks and missing requirements before installation.
• 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 apply lessons learned.
• Develop scripts and tools that automate design generation, BOM creation, cable mapping, and validation checks.
• Improve templates, standards, and design processes to make deployments repeatable and scalable.

Skills

Rack design

Power planning

Cable mapping

Hardware integration

Analytical thinking

Education

Bachelor's or Master's in EE/CS

Tools

Python

CAD tools

DCIM

Job description

Cerebras Systems is seeking an AI Data Center Infrastructure Engineer to turn high-level cluster designs into deployment-ready infrastructure. You’ll define rack layouts, BOMs, power needs, and cable mappings for compute, storage, and networking, while adapting designs to site constraints and coordinating with cross-functional teams.

You will build automation, validation checks, and reusable design frameworks to speed deployments, improve accuracy, and enable scalable operations in a data-center