Note: The job is a remote job and is open to candidates in USA. 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
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.
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