Regional Data Center Manager - Western Canada

Vancouver · On-site

About this role

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.

Regional Data Center Manager – Western Canada

Location
Calgary, Edmonton or Vancouver, BC (regional travel required).


About The Role
Cerebras Systems is seeking a Regional Data Center Manager to lead infrastructure operations and deployment execution across Western Canada.


This role is responsible for ensuring that AI infrastructure is delivered, operated, and scaled effectively, while maintaining strong alignment with global engineering and operations teams.


This is a field-oriented leadership role requiring:

  • Hands-on data center experience.

  • Solid understanding of MEP systems.

  • Direct engagement with facility providers.

  • The ability to manage local teams while executing HQ-driven requirements.

Key Responsibilities
Regional Operations Ownership

  • 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;

    • Platform Engineering.

Facility Interface & Infrastructure Oversight

  • Act as primary interface with facility operators and vendors.

  • Ensure site infrastructure supports:

    • High-density compute loads;

    • Liquid cooling systems;

    • Redundant power architectures;

    • Validate facility performance against defined operational thresholds.

Deployment & Build Execution

  • Execute modular deployments (5MW increments).

  • Lead coordination of:

    • Site readiness;

    • Equipment install;

    • Commissioning and operational handoff.

  • Support scaling toward multi-site, high-capacity regional footprint.

Team Leadership & HQ Alignment

  • Lead and develop local data center technicians and engineers.

  • Ensure execution aligns with HQ-defined standards, procedures, and timelines.

  • Serve as the operational bridge between HQ and field teams.

Qualifications

Required

  • 5–10+ years of data center or critical facility experience.

  • Working knowledge of MEP systems (mechanical, electrical, plumbing).

  • Experience interfacing with facility providers and vendors.

  • Demonstrated ability to lead site-level teams.

  • Ability to execute both operationally and managerially in a fast-paced environment.

Preferred

  • Experience with AI/HPC infrastructure.

  • Exposure to liquid cooling systems.

  • Experience operating in cold-weather environments.

  • Familiarity with structured incident management frameworks.

Why Join Cerebras

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. Members of our team tell us there are five main reasons they joined Cerebras:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.

  2. Publish and open source their cutting-edge AI research.

  3. Work on one of the fastest AI supercomputers in the world.

  4. Enjoy job stability with startup vitality.

  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

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.

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Company at a glance

Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up.

Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing.

From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times.

Here’s what makes our platform different

🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale
⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure
🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously
🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction

Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide.

👉 Learn more: www.cerebras.ai
Join us: https://cerebras.net/careers/

Team Size501-1,000 employees
WorkspaceOn-site
IndustrySemiconductor Manufacturing
Location
Vancouver, British Columbia, Canada
LinkedInLinkedIn

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