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Added 1 min ago
Data Platform Engineer II
Spring Financial Inc.
Vancouver, BC
Full-time
As a Data Platform Engineer II at Spring, you are a hands-on builder who delivers reliable, scalable data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and…
Added 15 mins ago
Senior Data Product Engineer
Match Group
Vancouver, BC
Full-time
We're looking for a Sr. Data Product Engineer to join our new Match Group Core Data team. This new position is a hybrid role combining the technical expertise of a data engineer with the…
Added 15 mins ago
Intermediate Data Engineer
BMO
Toronto, ON · SCC
Full-time
The Data Engineer is responsible for designing, building, and supporting scalable data solutions that enable analytics, reporting, regulatory, and operational business processes. Working as…
Added 29 mins ago
Development Security Specialist (Industrial Oil & Gas Applications)
Pengcorp Ltd.
Calgary, AB
Full-time
We are seeking a Senior Application Security & DevSecOps Engineer to establish, operationalize, and continuously improve our Secure Software Development Lifecycle (SSDLC) across enterprise,…
Added 29 mins ago
Python Engineer with DevOps/ Automation experience
Raas Infotek
Mississauga, ON
Contract
We are looking for an experienced Python Automation Engineer to design, develop, and maintain automation solutions that improve operational efficiency, reduce manual effort, and enhance…
Added 29 mins ago
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 29 mins ago
Senior AI Engineer
Tekgence Inc
Toronto, ON
Contract
- Production Platform Engineering (CI/CD, Docker, Kubernetes, Observability)
Added 29 mins ago
Staff Platform Engineer - Materia AI
Thomson Reuters
Toronto, ON
Full-time
As a Platform Engineer, you will contribute to leading the design, development, and evolution of our next-generation cloud-native platforms. You will contribute to technical strategy,…
Added 29 mins ago
Verification & Validation (V & V) Lead
SYSTRA Canada
Toronto, ON
Full-time
Professional Engineer (P.Eng) in Ontario or equivalent;
Added 29 mins ago
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
Full-time
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments,…
Added 29 mins ago
Data Platform Engineer II
Spring Financial
Vancouver, BC
Full-time
As a Data Platform Engineer II at Spring, you are a hands-on builder who delivers reliable, scalable data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and…
Added 45 mins ago
AI Datacenter Infra engineer
Cerebras Systems
Remote, Canada
Full-time · Remote
Cerebras is looking for an AI Data Center Infrastructure Engineer to turn cluster architecture into precise, deployment-ready infrastructure designs.
Added 1 hour ago
Software Developer
Insight Global
Newmarket, ON
$100,000 to $139,000 CAD / year
Full-time
…customers worldwide. This role is ideal for a backend-focused engineer who is passionate about developing scalable applications, building robust APIs, and contributing to modern cloud-based…
Added 1 hour ago
ARE Automation / DevOps Engineer
K&K Global Talent Solutions INC.
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Develops DevOps tooling and processes owned within a segment platform team.
Added 1 hour ago
Senior Cloud Engineer - Terraform, Azure
BDO
Toronto, ON
Full-time
BDO Digital is looking for a replacement Senior Cloud Engineer to join our team. This is enterprise-scale platform solutioning, not single-application DevOps. You will build a platform or…
Added 1 hour ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 1 hour ago
IT Observability Infrastructure Technician - Dynatrace
Tech Talent International
Montreal, QC
$85,000 to $90,000 CAD / year
Full-time
The technical engineer has broad responsibilities for the deployment of related processes and services. This includes:
Added 1 hour ago
Sr. Staff Engineer - Frontend
Munich Re
Toronto, ON
Lead the design evolution of a scalable visual rule-authoring platform, and an underwriting workbench used for life insurance underwriting.
Added 1 hour ago
Senior Security Platform Engineer - 100% Remote
Recrute Action
Toronto, ON
Contract
Platform Integration Engineering: Design and implement certificate management integrations with F5, Akamai, AWS Certificate Manager (ACM), Amazon EKS/Kubernetes, Microsoft Graph, HashiCorp…
Added 1 hour ago
Technical Project Manager, Applications & Solutions
Sanctuary AI
Vancouver, BC
Full-time
Sanctuary AI deploys its Embodied Intelligence Platform on industrial hardware into customer facilities. Each deployment runs as a project. A commercial requirement becomes a design, that…
Added 1 hour ago
Software Development Engineer II, AWS Marketplace
Amazon
Toronto, ON
Come build the platform that connects millions of AWS customers with the software they need to innovate. AWS Marketplace is one of the fastest-growing businesses at AWS, and you'll be at
Added 2 hours ago
Senior Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
Spot the platform work nobody has asked for yet, make the case for it, and build it.
Added 2 hours ago
Software Engineer
NetApp, Inc.
Vancouver, BC
Building a scalable grid system to handle a variety of framework in the cloud computing platform.
Added 2 hours ago
Growth Marketing Manager
CausalFunnel
Canada
Full-time
CausalFunnel is an AI platform for growth optimization helping businesses identify and eliminate revenue leaks across their customer acquisition channels.
Added 2 hours ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…

Cerebras Systems

AI Datacenter Infra engineer

Remote, Canada

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 21, 2026

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Original job description

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.

Role

Cerebras is looking for an AI Data Center Infrastructure Engineer to turn cluster architecture into precise, deployment-ready infrastructure designs.

You will own the critical step between a high-level system design and its implementation in a real data center. This includes defining rack layouts, equipment placement, bills of materials, power requirements, and port and cable mappings for compute, network, and storage systems.

Every deployment presents different constraints. You will adapt reference designs to the available space, power, cooling, connectivity, hardware, and logistics while preserving system performance, reliability, scalability, and serviceability.

You will also help automate this work. By building tools, validation checks, and reusable design frameworks, you will make each deployment faster, more accurate, and easier to operate at scale.

This role is well suited to an engineer who enjoys detailed systems work, practical problem-solving, and collaborating across hardware, networking, software, and data center operations.

Responsibilities

Translate cluster architectures and technical requirements into complete, deployment-ready infrastructure designs.

Produce and maintain rack elevations, equipment layouts, bills of materials, power allocations, port maps, and cable maps.

Adapt reference designs to site-specific constraints involving space, power, cooling, network connectivity, logistics, and hardware availability.

Validate that compute, storage, networking, power, and cabling designs work together as an integrated system.

Evaluate design trade-offs and recommend practical solutions that balance performance, reliability, scalability, cost, serviceability, and deployment schedule.

Partner with systems, network, hardware, manufacturing, supply-chain, and data center operations teams throughout the design and deployment process.

Participate in design and deployment-readiness reviews, identifying risks, inconsistencies, and missing requirements before installation begins.

Support deployment teams by resolving physical integration issues and documenting approved design changes.

Contribute to root-cause analysis when deployment or integration problems occur, and incorporate lessons learned into future designs.

Develop scripts and tools that automate design generation, BOM creation, cable mapping, consistency checks, and other repeatable workflows.

Improve templates, standards, documentation, and design processes so deployments become increasingly repeatable and scalable.

Qualifications

A bachelor’s or master’s degree in computer engineering, electrical engineering, computer science, or a related discipline - or equivalent practical experience.

One or more years of relevant experience in infrastructure engineering, data center design, systems integration, hardware deployment, or a related field.

Experience creating or working with rack elevations, equipment layouts, bills of materials, port maps, or cable maps.

A practical understanding of server, storage, and networking hardware and how these systems are physically integrated.

Familiarity with data center power, cooling, space, cabling, and serviceability constraints.

Experience using Python, Bash, PowerShell, or another language to automate technical workflows.

Strong analytical skills and close attention to detail.

The ability to turn incomplete or changing requirements into clear, actionable designs.

Clear written and verbal communication skills, including the ability to collaborate across several engineering disciplines.

Helpful Experience

The following experience is valuable but not required:

Designing or deploying high-density AI, HPC, or large-scale compute clusters.

Working with high-speed Ethernet or InfiniBand networks, optical transceivers, fiber, DACs, or structured cabling.

Using infrastructure documentation, diagramming, DCIM, CAD, or source-controlled design tools.

Developing automated validation, configuration-generation, or infrastructure-modeling tools.

Supporting data center deployment, commissioning, hardware integration, or deployment-related incident analysis.

Working with contract manufacturers, colocation providers, installation partners, or supply-chain teams.

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.

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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More about this job

Responsibilities

Translate complex cluster architectures into precise, deployment-ready infrastructure designs including rack layouts, power, and cabling. Collaborate with cross-functional teams to validate system integration and automate design workflows for scalable deployments.

Requirements

Requires a bachelor's or master's degree in a technical discipline and at least one year of relevant experience in infrastructure or data center engineering. Candidates must possess strong analytical skills and proficiency in scripting languages like Python or Bash for workflow automation.

Skills

Data center infrastructure
Rack layout design
Power requirements planning
Cooling systems
Cable mapping
Python
Bash
PowerShell
Systems integration
Hardware deployment
BOM creation
Network connectivity
HPC
AI clusters
Infrastructure automation
Technical documentation

Visa sponsorship

Not detected in the job text

Keywords

AI Datacenter
Infrastructure Engineering
Cluster Architecture
Rack Elevation
BOM
Power Allocation
Port Mapping
Cable Mapping
Compute Systems
Storage Systems
Networking Hardware
Python
Bash
PowerShell
Automation
HPC
Ethernet
InfiniBand
Optical Transceivers
Fiber
DAC
DCIM
CAD
Systems Integration
Hardware Deployment
Scalability
Reliability
Serviceability
Logistics
Manufacturing

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