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Added 5 mins ago
Senior Network Engineer
Kepler Communications Inc.
Canada
Full-time
Collaborate closely with software, FPGA, and mission operations teams to support network infrastructure for satellite operations and ground systems
Added 20 mins ago
Endpoint Engineer - Enterprise Endpoint Compute
CIBC
Toronto, ON
Full-time
…configuration and automated deployment of Windows operating systems and applications for endpoints. You’ll provide advanced Windows support in day-to-day operations, including…
Added 34 mins ago
Development Security Specialist (Industrial Oil & Gas Applications)
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Added 34 mins ago
Engineering Director, Nuclear
WSP in Canada
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Full-time
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Added 34 mins ago
Engineering Director, Nuclear
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Mississauga, ON
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Added 34 mins ago
Engineering Director, Nuclear
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Added 34 mins ago
Staff Platform Engineer - Materia AI
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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 34 mins ago
Engineering Director, Nuclear
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Added 34 mins ago
Engineering Director, Nuclear
WSP in Canada
Markham, ON
Full-time
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Added 50 mins ago
AI Datacenter Infra engineer
Cerebras Systems
Remote, Canada
Full-time · Remote
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.
Added 1 hour ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
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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
Software Development Engineer II, AWS Marketplace
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As a SDE II on the AWS Marketplace team, you will design and build large-scale distributed systems that power a multi-billion dollar commerce platform used by customers and partners
Added 2 hours ago
Cost Controller
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Kamloops, BC
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Added 2 hours ago
Senior Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
…from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training,…
Added 3 hours ago
DevOps Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
$100,000 to $120,000 CAD / year
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…clients to transform themselves across the full AI stack, from infrastructure to…
Added 3 hours ago
Senior AI Engineer
CI Financial
Toronto, ON
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You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.
Added 4 hours ago
Electrical Engineer
JDS Energy & Mining
Vancouver, BC
JDS Energy & Mining is seeking an Electrical Engineer to join our team on a FIFO rotation supporting a major mining project. This position plays a key role in the successful delivery of…
Added 4 hours ago
Senior Electrical Engineer
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JDS Energy & Mining is seeking an Senior Electrical Engineer to join our team on a FIFO rotation supporting a major mining project. This position plays a key role in the successful delivery…
Added 4 hours ago
Field Engineer / Specialist, RSSOM - Ontario Line
Bantrel Co.
Toronto, ON
$95,000 to $140,000 CAD / year
Full-time
We are currently seeking a qualified Field Engineer / Specialist (FS) – RSSOM to join our infrastructure team, based out of Toronto, ON. The FS will be responsible for overseeing the…
Added 4 hours ago
Senior Network Engineer
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AB · Tsuut'ina, AB
Full-time
The Senior Network Engineer (ITIL Tier 3) is responsible for leading the design, implementation, security, monitoring, and maintenance of the organization’s network infrastructure to ensure…
Added 4 hours ago
Class B Refrigeration Operator
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Full-time
Perform routine inspection and testing of equipment and building infrastructure to ensure proper operation
Added 4 hours ago
Senior Civil Lead Engineer
Hatch
Calgary, AB
…globe. With expertise in sustainable studies, asset building and operations, and industry-leading efficiencies, our best-in-class team leverages methodologies, governance and systems that…
Added 4 hours ago
Engineer Manager
Hatch
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Added 4 hours ago
Senior Cloud DevOps Engineer
Robertson & Company Ltd.
Ottawa, ON
Contract
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management,…

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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