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About the Role
Cerebras is looking for an AI Data Center Infrastructure Engineer to turn cluster architecture into precise, deployment-ready infrastructure designs. You will own the critical step between a high-level system design and its implementation in a real data center, defining rack layouts, equipment placement, bills of materials, power requirements, and port and cable mappings. You will adapt designs to site-specific constraints and automate this work by building tools, validation checks, and reusable design frameworks.
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.
Requirements
- 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.
Skills
- Python
- Bash
- PowerShell
- AI
- HPC
- Ethernet
- InfiniBand
- DCIM
- CAD
Location
- Remote
Work Type
- Full-time
Experience Level
- Entry Level
- Mid Level
Education Level
- Bachelor's Degree
- Master's Degree
Benefits
- Job stability with startup vitality
About the Company
- 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.
- This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
- OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
- People who are serious about software make their own hardware.
- At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.
- With dozens of model releases and rapid growth, we’ve reached an inflection point in our business.
- 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.
- Our simple, non-corporate work culture that respects individual beliefs.
Equal Opportunity
- Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
- We celebrate different backgrounds, perspectives, and skills.
- We believe inclusive teams build better products and companies.
- We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.