Jobs in Canada

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Added 1 month ago
GD
Cybersecurity Engineer (System Engineering) - Multiple level
General Dynamics Missions System International
Calgary, AB
- Full-time
General Dynamics Mission Systems–Canada is seeking a Cybersecurity Engineer to join our growing Land and Joint division. In this role, you will help address complex cybersecurity…
Added 1 month ago
S
Staff Software Engineer, Risk Data Engineering
Stripe
Canada
- Full-time
Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product - we enable Stripe to confidently run, measure, and grow the…
Added 1 month ago
E
Sr. Plant Controller Modelling Engineer
e-STORAGE
Kitchener, ON
- Full-time
Position Title: Sr. Plant Controller Modelling Engineer
Added 1 month ago
CL
Android Engineer (Senior-Staff Levels)
Cantina Labs
MB
- Full-time
As an Android Engineer at Cantina, you’ll lead the development of innovative, high-performance features - from crafting personalized feeds and immersive custom UIs to empowering bots with…
Added 1 month ago
H
Data Engineer
HCLTech
Toronto, ON
- Full-time
Hands-on expertise with Adobe Campaign Standard (ACS) as a Developer/Data Engineer.
Added 1 month ago
Field Regulatory Engineer
Keysight Technologies, Inc.
Mississauga, ON
Keysight is seeking a highly motivated Field Regulatory Engineer to join the Product Environmental & Regulatory Compliance (PERCS) team within Customer Experience & Quality (CE&Q). This…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Work Arrangement: 5 days per week in-office
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
S
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
- Full-time
Product and Risk Data Engineering is Stripe's single source of truth data engineering layer for Payments, Risk, and Product - we enable Stripe to confidently run, measure, and grow the…
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
SA
Technical Project Manager, Applications & Solutions
Sanctuary AI
Vancouver, BC
- Full-time
You will co-lead each engagement with a Solutions Engineer, who owns the technical solution and the design decisions behind it. Your focus is managing the project that carries that solution…
Added 1 month ago
IC
Mining Engineer in Training II- EN
IAMGOLD Corporation
Gogama, ON
- Full-time
We’re actively searching for a Mining Engineer in Training II based in Gogama with a start date to be determined, reporting to the Senior Mine Engineer. In this role, you’ll support mine…
Added 1 month ago
IC
Mining Technologist- EN
IAMGOLD Corporation
Gogama, ON
- Full-time
…start date to be determined, reporting to the Senior Mining Engineer. This role supports Technical Services by collecting, analyzing, and coordinating operational data on a 7/7 or 14/14…
Added 1 month ago
Senior Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
Data or measurement systems where getting the numbers right was the hard part.
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Work Arrangement: 5 days per week in-office
Added 1 month ago
X
Technical Project Manager
Xanadu
Toronto, ON
- Full-time
Technical background or previous experience working as an engineer, developer, systems engineer, or technical analyst.
Added 1 month ago
KC
Senior Electrical Design Engineer & Team Lead
Kepler Communications Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 1 month ago
IS
Industrial Engineering Student/Co-op - Winter 2027
Irving Shipbuilding
Halifax, NS
- Full-time
Are you ready to engineer real change in one of Canada’s most advanced shipyards?
Added 1 month ago
MI
Jr. Die Process & Development Engineer
Magna International
Brampton, ON
- Full-time
· 3D cut data deliverables to ensure they are met with quality standards and on time
Added 1 month ago
SC
Lead Platform Engineer (DevOps & MLOps)
Shore Consulting
Toronto, ON
- Full-time
Reporting to the Director, Platform Services, the Lead DevOps Engineer is a senior, hands-on technical leader responsible for building, operating, and continuously improving Afflo’s…
Added 1 month ago
E
Senior Backend Engineer, Client Portal
EvenUp
Toronto, ON
- $152,660 to $214,475 CAD / year
- Full-time
Our Cases Product Engineering team is in search of a Backend Software Engineer who will lead the charge in architecting cutting-edge software integrations and revolutionize the user…
Added 1 month ago
S&
Senior Structural Engineer 2 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…outcomes for our clients. Depending on the role, employees may use data, automation, artificial intelligence, and other digital tools to support research, analysis, engineering and design…
Added 1 month ago
AS
Manufacturing Engineer
Adamson Systems Engineering
Port Perry, ON
- $75,000 to $90,000 CAD / year
- Full-time
The day-to-day duties generally focus on continuous improvement, machinery management, and data tracking:

Cerebras Systems

AI Datacenter Infra engineer

Remote, Canada

Remote

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
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.

Apply on jobs.ashbyhq.com About employer

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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Work requirements

Jobs in Canada