AI Datacenter Infra engineer

Summary

Cerebras Systems builds advanced AI computing hardware and infrastructure for high-speed model training and inference. The company is seeking an AI Data Center Infrastructure Engineer to translate cluster architectures into deployment-ready designs, adapt them to site constraints, and automate infrastructure design and validation workflows.

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
• Improve templates, standards, documentation, and design processes so deployments become increasingly repeatable and scalable

Skills

• 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
• 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
• Developing automated validation, configuration-generation, or infrastructure-modeling tools
• Supporting data center deployment, commissioning, hardware integration, or deployment-related incident analysis
• Working with contract manufacturers, colocation providers, installation partners, or supply-chain teams

Qualifications

Must Haves

• 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

Nice to Haves

• 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
• Developing automated validation, configuration-generation, or infrastructure-modeling tools
• Supporting data center deployment, commissioning, hardware integration, or deployment-related incident analysis
• Working with contract manufacturers, colocation providers, installation partners, or supply-chain teams

Benefits

• 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.
• A simple, non-corporate work culture that respects individual beliefs.
• A work environment that empowers people to do their best work through continuous learning, growth and support of those around them.