AI Data Center Infrastructure Engineer

Location: Hybrid in Toronto, Canada; Remote in the United States; or Sunnyvale, California

Company

Builds large-scale AI computing systems based on a specialized AI chip architecture for high-speed model training and inference.

What you will do

• Translate cluster architectures and technical requirements into complete, deployment-ready infrastructure designs.
• Create rack elevations, equipment layouts, bills of materials, power allocations, port maps, and cable maps.
• Adapt reference designs to site-specific space, power, cooling, connectivity, hardware, and logistics constraints.
• Validate compute, storage, networking, power, and cabling designs as an integrated system.
• Collaborate with systems, network, hardware, manufacturing, supply-chain, and data center operations teams.
• Develop automation for design generation, BOM creation, cable mapping, validation checks, documentation, and repeatable deployment workflows.

Requirements

• Bachelor’s or master’s degree in computer engineering, electrical engineering, computer science, or a related discipline, or equivalent practical experience.
• At least one year of relevant experience in infrastructure engineering, data center design, systems integration, hardware deployment, or a related field.
• Experience with rack elevations, equipment layouts, bills of materials, port maps, or cable maps.
• Practical understanding of server, storage, and networking hardware and their 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, along with strong analytical and communication skills.

Nice to have

• Experience designing or deploying high-density AI, HPC, or large-scale compute clusters.
• Knowledge of high-speed Ethernet, InfiniBand, optical transceivers, fiber, DACs, or structured cabling.
• Experience with DCIM, CAD, infrastructure documentation, diagramming, or source-controlled design tools.
• Experience supporting data center deployment, commissioning, hardware integration, or incident analysis.
• Experience working with contract manufacturers, colocation providers, installation partners, or supply-chain teams.

Culture & Benefits

• Work on an AI platform designed beyond conventional GPU constraints.
• Opportunities to contribute to AI research and open-source work.
• Work with a high-performance AI supercomputer platform.
• Startup vitality combined with job stability.
• Simple, non-corporate culture that respects individual beliefs and supports continuous learning and growth.