AI Datacenter Infra engineer

The role

You will turn cluster architecture into deployment-ready infrastructure designs. This includes defining rack layouts, equipment placement, power requirements, and cable mappings for compute, network, and storage systems.

What you will do

• Translate cluster architectures and technical requirements into deployment-ready infrastructure designs.
• Produce rack elevations, equipment layouts, bills of materials, power allocations, port maps, and cable maps.
• Adapt reference designs to site-specific constraints like space, power, cooling, and connectivity.
• Validate that compute, storage, networking, power, and cabling designs work as an integrated system.
• Evaluate design trade-offs for performance, reliability, scalability, cost, and serviceability.
• Partner with systems, network, hardware, manufacturing, supply-chain, and data center operations teams.
• Participate in design and deployment-readiness reviews.
• Support deployment teams by resolving physical integration issues and documenting design changes.
• Contribute to root-cause analysis for deployment or integration problems.
• Develop scripts and tools to automate design generation and repeatable workflows.

Required qualifications

• 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.
• Practical understanding of server, storage, and networking hardware and physical integration.
• 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 incomplete or changing requirements into clear, actionable designs.
• Clear written and verbal communication skills.

Nice to have

• 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 cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Job stability with startup vitality.
• Simple, non-corporate work culture that respects individual beliefs.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.