Jobs in Canada

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Added 1 month ago
M
Regional Lab Manager
Malteurop
Great Falls, MB
- Full-time
Bachelors Degree in Food Science, Food Technology, Biology, Chemical Engineering, or other science related field
Added 1 month ago
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Senior Engineer, Process Maintenance
Glencore
Sparwood, BC
- $115,000 to $145,000 CAD / year
- Full-time
Strong understanding of mechanical engineering fundamentals such as Strong understanding of bulk material handling systems (conveyors, feeders, chutes), fluid/slurry dynamics, rotating…
Added 1 month ago
WS
Senior Software Developer, SharePoint & Microsoft Power Apps
Workplace Safety and Insurance Board (WSIB)
London, ON
- $106,460.91 to $125,248.03 CAD / year
- Full-time
The successful candidate will apply advanced skills in application design, technical systems analysis, solution architecture, development, implementation, transition to operations,…
Added 1 month ago
WS
Senior Software Developer, SharePoint & Microsoft Power Apps
Workplace Safety and Insurance Board (WSIB)
Toronto, ON · Greater Toronto Area, Canada
- $106,460.91 to $125,248.03 CAD / year
- Full-time
The successful candidate will apply advanced skills in application design, technical systems analysis, solution architecture, development, implementation, transition to operations,…
Added 1 month ago
NM
System Hardware Engineering Tester
Natus Medical Incorporated
Oakville, ON
- Full-time
System Hardware Engineering Tester – Natus Neuro
Added 1 month ago
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Software Designer
EXFO
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Bachelor’s degree in Software Engineering, Computer Engineering, Computer Science or an equivalent field;
Added 1 month ago
ÉN
Turbine and Generator, Mechanical Engineer (Engineer V)
Énergie NB Power
Fredericton, NB
- $52.23 to $65.32 CAD / hour
- Full-time
…of turbine and generator units, including balance of plant systems, protection and controls, MCCs, instrumentation, and condition monitoring systems, while ensuring work meets engineering…
Added 1 month ago
WI
Project Director, Hydro & Dams
WSP in Canada
Vancouver, BC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 1 month ago
Développeur Logiciel Temps Réel C++ Hypersim / C++ Real Time Software Developer, Hypersim
OPAL-RT
Montreal, QC
OPAL-RT Technologies is looking for a C++ Real Time Software Developer
Added 1 month ago
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Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Added 1 month ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Added 1 month ago
C
ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Exposure to production systems validation or infrastructure reliability engineering
Added 1 month ago
C
Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
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Senior FE Engineer - Inference Console
Cerebras
Toronto, ON
- Full-time
Operate at the intersection of product and infrastructure - the work spans developer experience, distributed systems, and real-time data, requiring both strong engineering and product…
Added 1 month ago
C
FPGA Engineer
Cerebras
Toronto, ON
- Full-time
…system, and over the proprietary IOs onto the WSE. As an FPGA developer on the team, you will own the in-chassis IO subsystem consisting of i) several cluster-facing RoCE v2 network…
Added 1 month ago
C
Software Engineer - Host and Network IO
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
C
Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Added 1 month ago
C
Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
A
Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Montreal, QC
- Full-time
…solutions for the ALTO project. Working with GIS, CAD/BIM, engineering, and information management teams, you will develop reusable ETL workflows, automate data validation and…
Added 1 month ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
…a new GPU Inference Development team. Working closely with engineering leads and cross-functional systems infrastructure teams, you will design, build, and scale the end-to-end release…
Added 1 month ago
C
Sr./Staff TPM - Inference Capacity
Cerebras
Toronto, ON
- Full-time
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…
Added 1 month ago
AC
Quality Control Technician Nuclear Manufacturing
AAA Canada
ON · Ontario, Canada
- Full-time
Maintain and verify employee training records using electronic systems and hard-copy records.
Added 1 month ago
PG
Plant Manager-Manufacturing
Pangeo Group
Vaughan, ON
- $150,000 to $190,000 CAD / year
- Full-time
…operation of the whole site, including its people, equipment, and systems, and you are accountable for its results across safety, quality, cost, delivery, and the…
Added 1 month ago
B
Reliability Analyst - Maintenance, Buildings & Equipment Team
Bombardier
Dorval, QC
- Full-time
Ensure cross-department coordination: Collaborate with production, engineering, and supply teams to integrate reliability into design and planning.
Added 1 month ago
B
PLM Business Solution Delivery Professional
Bombardier
Montreal, QC
- Full-time
The Product Lifecycle Management (PLM) and CAD Solutions team leads the development, deployment and adoption of the engineering solutions required to modernize Bombardier's product…

Cerebras

Staff Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
Posting language: English
Posted: Sep 23, 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.

Responsibilities

Design, build, and evolve CI/CD pipelines that support reliable and efficient build, test, and release workflows across the organization.
Own and improve artifact lifecycle systems, including versioning, storage, distribution, dependency management, and reproducible builds at scale.
Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.
Provision, monitor, and optimize cloud infrastructure supporting CI workloads, balancing cost, performance, scalability, and reliability.
Troubleshoot complex build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing durable fixes.
Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure.
Contribute to the company’s efforts around AI tooling to improve engineering productivity and automate repetitive workflows.
Provide technical leadership across projects, influence engineering standards, and mentor other engineers within the Developer Productivity organization.
Participate in on-call and incident response for Developer Productivity systems and services.

Skills & Qualifications

7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure.
Experience with artifact repositories, software packaging, dependency management, and reproducible build concepts.
Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning.
Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management.
Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation.
Experience with containerization and container orchestration, with Kubernetes preferred.
Strong troubleshooting skills and the ability to debug complex distributed systems and infrastructure issues.
Demonstrated experience leading technical initiatives across multiple teams and driving improvements to developer infrastructure at organizational scale.
Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues.
Experience operating production systems and participating in on-call, incident response, and postmortem processes.

Preferred Skills & Qualifications

Experience with infrastructure-as-code tools and practices.
Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
Experience with build systems, build graph optimization, or large-scale build infrastructure.
Experience with observability practices including monitoring, logging, alerting, and performance analysis.
Experience building internal developer platforms, self-service tooling, or developer-facing infrastructure.
Experience applying AI/LLM tooling to engineering workflows or developer productivity.
BS/MS in Computer Science or a related field, or equivalent practical experience.

Why Join Cerebras

About

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.

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More about this job

Responsibilities

Design, operate, and improve CI/CD pipelines, artifact lifecycle systems, cloud infrastructure, build and test systems, and developer tooling to increase reliability and engineering productivity. Lead cross-team infrastructure improvements, contribute to AI-enabled engineering workflows, mentor engineers, and participate in on-call and incident response.

Requirements

Requires 7+ years of relevant software, infrastructure, DevOps, or developer productivity experience, with hands-on expertise in CI/CD, artifact and dependency management, cloud infrastructure, version control, Linux/Unix, containers, and troubleshooting. Candidates should have a record of leading organization-wide technical improvements and operating production systems; experience with infrastructure as code, automation languages, build systems, observability, developer platforms, or AI/LLM tooling is preferred.

Skills

CI/CD
Build And Release Infrastructure
Artifact Management
Cloud Infrastructure
AWS
Infrastructure Provisioning
Version Control
Code Review Workflows
Linux/Unix
Networking
Automation
Kubernetes
Distributed Systems Troubleshooting
Infrastructure As Code
Python
Go

Visa sponsorship

Not detected in the job text

Keywords

CI/CD
Automated Build And Test
Release Workflows
Artifact Repositories
Artifact Lifecycle Management
Software Packaging
Dependency Management
Reproducible Builds
AWS
Cloud Infrastructure
Infrastructure Provisioning
Version Control
Code Review
Branching Strategies
Linux/Unix
Networking
Containerization
Kubernetes
Infrastructure As Code
Python
Go
Shell Scripting
Build Systems
Build Graph Optimization
Observability
Monitoring
Logging
Alerting
Developer Platforms
AI/LLM Tooling

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