Cerebras
AI Datacenter Infra engineer
Toronto, CAN +2 · Hybrid · Full-time · Posted Sep 21, 2026
- Location
- Toronto, CAN
Remote (US)
Sunnyvale, CA - Experience
- One or more years of relevant experience.
- Education
- Bachelor’s or master’s degree in computer engineering, electrical engineering, computer science, or a related discipline—or equivalent practical experience.
About the job
Turns cluster architectures into deployment-ready data center infrastructure designs and develops tools to automate and scale the design process.
What you'll do
- Create and maintain rack layouts, bills of materials, power allocations, port maps, and cable maps.
- Adapt and validate infrastructure designs against site constraints and deployment requirements.
- Build automation tools and improve reusable design standards, templates, and workflows.
What they ask for
- 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 constraints and workflow automation.
Nice to have
- Designing or deploying high-density AI, HPC, or large-scale compute clusters.
- Experience with high-speed Ethernet or InfiniBand, optical transceivers, fiber, DACs, or structured cabling.
Tools
Python, Bash, PowerShell, Ethernet, InfiniBand, DCIM, CAD
AI focus
Supports infrastructure design and deployment for AI compute clusters.
Model-written summary · the original posting is authoritative