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Added 1 month ago
TR
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 1 month ago
SF
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 1 month ago
CS
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 month ago
B
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 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Basic scripting or programming experience such as Python, SQL, JavaScript, or equivalent.
Added 1 month ago
FB
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We are seeking a Senior Data Engineer with deep expertise in designing and delivering scalable, real-time streaming as well as batch data pipelines and solutions using modern data platforms…
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and…
Added 1 month ago
I
Photonic Product Validation & Characterization Engineer
Inpho
Ottawa, ON · Kanata, ON
- $100,000 to $150,000 CAD / year
- Full-time
We are seeking a Photonic Product Validation & Characterization Engineer who is an autonomous and proactive problem solver. This role is responsible for the "why" and the "what" – assisting…
Added 1 month ago
Machine Learning Engineer
AGCO
Winnipeg, MB
Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the…
Added 1 month ago
C
Mixed Signal IP Integration Engineer – New Grad
Ciena
Ottawa, ON
- Full-time
Scripting in Python and Cadence Skill language
Added 1 month ago
EE
Senior Software Engineer
Enerva Energy Solutions
Calgary, AB
- $85,000 to $95,000 CAD / year
- Full-time
Deep expertise in Python and at least one modern web stack (e.g. JavaScript/TypeScript with React), plus the judgment to know when to reach for something else.
Added 1 month ago
Staff DevSecOps Specialist
AlayaCare
Montreal, QC
Strong software engineering ability in Python, Go, or a comparable language, with production systems other teams rely on and the judgment to set the quality bar for them.
Added 1 month ago
WT
AI Automation & Software Engineer
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
The AI Automation & Software Engineer designs, builds, and supports AI, automation, and software solutions for both customer environments and WBM's internal operations. You'll work across…
Added 1 month ago
WT
DATA MANAGEMENT ARCHITECT
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
Modernize and re-engineer existing reporting environments to leverage centralized datasets and improved governance practices.
Added 1 month ago
E
Senior Software Engineer, Backend, AI Labs
Epiq
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in Python, or strong proficiency in a comparable language and the ability to work primarily in Python
Added 1 month ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Added 1 month ago
SI
Principal Firmware Engineer
Synopsys Inc
Ottawa, ON · Nepean, ON
- Full-time
Experience with Python and Verilog is a strong plus, particularly for test automation and RTL co-development
Added 1 month ago
Senior Software Engineer, Backend
Brex
Vancouver, BC
As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We’re looking for folks with an…
Added 1 month ago
Lead Data/Analytics Engineer
Dutch
Vancouver, BC
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 1 month ago
TC
Senior L3 AI Engineer
Tata Consultancy Services
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
Added 1 month ago
TC
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 1 month ago
TT
Solution Architect, Google Workspace & Gemini AI
Tundra Technical Solutions
Toronto, ON
- $130,000 to $145,000 CAD / year
- Full-time
Act as the principal designer and engineer for the Google Workspace tenant, ensuring organizational units (OUs), groups, and access controls are optimally structured for scale and security.
Added 1 month ago
EM
Production Engineer
Evertz Microsystems Limited
Burlington, ON
- Full-time
Python certification with experience is an asset
Added 1 month ago
C
Senior Corporate Security Analyst
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
Added 1 month ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…

Cerebras Systems

AI Datacenter Infra engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

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

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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