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Cerebras

AI accelerator hardware replacing GPUs

Regional Data Center Manager - Western Canada

Facilities ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Five to ten or more years of data center or critical facility experience.
  • Working knowledge of mechanical, electrical, and plumbing systems.
  • Experience interfacing with facility providers and vendors.
  • Demonstrated ability to lead site-level teams.
  • Ability to execute operationally and managerially in a fast-paced environment.

Responsibilities

  • Lead day-to-day operations across Western Canada sites.
  • Ensure infrastructure meets uptime, performance, and reliability targets.
  • Own incident response coordination for facility-related issues.
  • Maintain alignment with global Cluster Operations, Network Operations, and Platform Engineering.
  • Act as the primary interface with facility operators and vendors.
  • Ensure site infrastructure supports high-density compute loads, liquid cooling systems, and redundant power architectures; validate facility performance against defined operational thresholds.
  • Execute modular deployments in 5 MW increments.
  • Coordinate site readiness, equipment installation, commissioning, and operational handoff.
  • Support scaling toward a multi-site, high-capacity regional footprint.
  • Lead and develop local data center technicians and engineers.
  • Ensure execution aligns with headquarters-defined standards, procedures, and timelines.
  • Serve as the operational bridge between headquarters and field teams.

Desired Qualifications

  • Experience with AI or high-performance computing infrastructure.
  • Exposure to liquid cooling systems.
  • Experience operating in cold-weather environments.
  • Familiarity with structured incident management frameworks.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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