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Applied Data Center Design Engineer

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Cerebras Systems

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Location:
Canada , Toronto

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As an Applied Data Center Design Engineer, you’ll own the “last mile” of cluster architecture - transforming high-level design specifications into efficient, real-world deployment blueprints for servers, storage, networking, and cabling. You’ll be responsible for customizing data center and rack-level designs based on specific cluster requirements - adapting layouts, power, and connectivity to optimize performance, scalability, and reliability. When real-world constraints like space, power, or supply chain limitations arise, you’ll make smart trade-offs to deliver practical, deployable solutions. This role combines hands-on problem solving with automation and tooling - you’ll also help design and build the frameworks that make each new deployment iteration faster, smarter, and more consistent across sites. It’s a great opportunity for someone early in their career who enjoys working at the intersection of hardware, software, and operations, and wants to shape the foundation of large-scale compute infrastructure.

Job Responsibility:

  • Translate cluster and rack-level design specifications into deployable blueprints for servers, storage, networking, and cabling
  • Customize rack-level designs to meet unique cluster requirements, ensuring power, thermal, and network connectivity are optimized for each deployment
  • Collaborate with operations team to validate and adapt designs based on site-specific constraints (e.g., power, cooling, space, logistics)
  • Identify and implement automation and tooling to streamline BOM generation and design validation
  • Participate in data center deployment reviews, ensuring alignment between design intent and implementation
  • Support issue triage and root cause analysis for deployment-related or physical integration problems

Requirements:

  • Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field — or equivalent practical experience
  • 1–3 years of experience in infrastructure engineering, data center design, or systems deployment, creating rack elevations, bill of materials (BOMs), and port/cable maps
  • Familiarity with servers, networking, and storage hardware
  • Basic proficiency in scripting or automation (e.g., Python, PowerShell, or Bash)
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication and teamwork skills across multiple engineering disciplines
What we offer:
  • 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

Additional Information:

Job Posted:
February 17, 2026

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