The opportunity
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
What you'll do
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.
What they're looking for
- 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.
