Applied Data Center Design Engineer

Cerebras Systems; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading AI technology company in Toronto seeks an Applied Data Center Design Engineer to translate high-level designs into operational blueprints for data center architecture. The ideal candidate will possess a relevant degree, up to 3 years of experience, and skills in infrastructure engineering and automation. This position offers a unique opportunity to shape large-scale compute infrastructure in a dynamic work environment.

Benefits

Equal opportunity employer

Support for continuous learning and growth

Non-corporate work culture

Qualifications

• 1-3 years of experience in infrastructure engineering, data center design or systems deployment.
• Familiarity with servers, networking, and storage hardware.
• Strong analytical and problem-solving skills.

Responsibilities

• Translate cluster and rack-level designs into deployable blueprints.
• Customize rack-level designs for power and network connectivity.
• Collaborate with operations to adapt designs based on site constraints.

Skills

Infrastructure engineering

Data center design

Scripting or automation

Analytical skills

Teamwork skills

Education

Bachelor's or Master's degree in a relevant field

Tools

Python

PowerShell

Bash

Job description

Overview

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device, enabling industry-leading training and inference speeds for large-scale ML applications.

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About The Role

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 customize 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.

Responsibilities

• 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.
• Support issue triage and root cause analysis for deployment-related or physical integration problems.

Skills & Qualifications

• Bachelors or Masters 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.

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:

• 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.

Apply today

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 strive to build a work environment that supports continuous learning, growth and collaboration.

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics.