Jobs in Canada

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Added 1 day ago
Director, Solutions Architecture & Pre-Sales
Nearform
Canada
…enterprises to build breakthrough products and modernise legacy systems, with…
Added 1 day ago
Senior Software Engineer - Python & AI
Nearform
Canada
…enterprises to build breakthrough products and modernise legacy systems by unleashing the power of…
Added 1 day ago
I
.NET Application and Solutions Architect - Assistant Vice President
iCapital
Toronto, ON
- Full-time
…the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery,…
Added 1 day ago
CS
AI Fleet Platform Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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 day ago
CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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 day ago
CS
Software Engineer - Host and Network IO
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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 day ago
CS
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…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 day ago
CS
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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 day ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Added 1 day ago
CS
Senior Backend Engineer, Inference Cloud
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…power Cerebras Inference Cloud. Your work will support the Developer Console and the broader backend systems that developers and enterprises rely on to access, manage, and operate inference…
Added 1 day ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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 day ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras.
Added 1 day ago
CS
Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Added 1 day ago
CS
Senior SDET, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Added 1 day ago
CS
Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
- 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.
Added 1 day ago
CS
Applied Machine Learning Research Scientist
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
This role is ideal for candidates who enjoy hands-on engineering, want to build deep intuition for ML systems, and are excited about working on LLMs and reinforcement learning in practice,…
Added 1 day ago
CS
ML Systems Performance Engineer
Cerebras Systems
Canada
- 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 day ago
CS
Staff Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
- 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Added 1 day ago
CS
FPGA Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…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 day ago
HC
Intern - Software/ML Engineer
Human Computer Lab
Toronto, ON
- Internship
- Hybrid
As an intern, you will be responsible for helping build the software and machine learning systems that power robot perception, intelligence, and behavior. You will work closely with the…
Added 1 day ago
PS
GTM Engineer
Plane Software, Inc.
Canada
- Full-time
This is the first dedicated GTM engineering hire at Plane, and you will build the function from the ground up. You own outbound end to end: ICP definition, enriched lists, sequences,…
Added 1 day ago
E&
Consultant / Sr. Consultant (AI & Strategy | Healthcare)
Eastwood & Cleef
Toronto, ON
- Full-time
- Hybrid
- Bachelor’s degree (Business, Health Administration, Economics, Engineering, Information Systems, or related) - MBA or graduate degree is a plus but not required
Added 1 day ago
C
Software Engineer, Security Agents
Cohere
Canada
- $215,000 to $325,000 USD / year
- Full-time
- Hybrid
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for…
Added 1 day ago
C
Technical Program Manager, AI Delivery
Cohere
Canada
- $175,000 to $220,000 USD / year
- Full-time
- On-site
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for…
Added 1 day ago
C
Senior Member of Technical Staff, Safety and Security for Agents
Cohere
Toronto, ON · Montréal, QC
- $295,000 to $535,000 CAD / year
- Full-time
- Hybrid
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for…

Cerebras Systems

Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Hybrid

Full-time

Apply on jobs.ashbyhq.com About employer

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Job details

Job type: Full-time
Workplace: Hybrid
Experience: 4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
Posting language: English
Posted: Jul 13, 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:

Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.
Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support 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 to support CI workloads, balancing cost efficiency with performance and reliability.
Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.
Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Contribute to the company’s efforts on AI tooling to boost engineering productivity efficiently.

Skills & Qualifications

4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
Familiarity with CICD systems and hands-on experiences in building or maintaining automated build and deployment pipelines.
Understanding of artifact repository management and software packaging concepts.
Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.
Proficiency with distributed version control systems, code review processes, and repository management.
Foundational knowledge of operating system concepts (Linux/Unix), networking fundamentals, and scripting for automation.
Experience with containerization and container orchestration (Kubernetes preferred).
Strong troubleshooting skills and a methodical approach to debugging distributed systems.
Curiosity about how large-scale infrastructure is built, operated, and improved.
Being part of oncall and incident response task force of Dev Productivity org.

Preferred Skills & Qualifications

Familiarity with infrastructure-as-code tools and practices.
Scripting proficiency in Python or Shell for build automation and tooling.
Exposure to build systems and build graph optimization.
Understanding of observability practices including monitoring, logging, and alerting.
BS/MS in Computer Science or a related field, or equivalent practical experience.

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.

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Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The DevOps engineer at Cerebras Systems will build and maintain the pipelines that build, test and release software, and manage artifacts and cloud infrastructure. The role also fixes build failures and improves developer tools and productivity.

Requirements

Candidates need 4 to 8 years in DevOps, infrastructure or software engineering, with hands-on CI/CD, cloud (AWS preferred), Linux and Kubernetes experience. Strong troubleshooting skills and participation in oncall are also expected.

Skills

CI/CD pipelines
Artifact repository management
Software packaging
AWS
Kubernetes
Docker
Git
Code review workflows
Linux/Unix
Networking fundamentals
Python
Shell scripting
Infrastructure as code
Build graph optimization
Monitoring
Logging
Alerting
Root-cause analysis
Troubleshooting distributed systems
Cloud resource provisioning
Build automation
Oncall and incident response

Keywords

DevOps
CI/CD
continuous integration
continuous delivery
artifact management
AWS
Kubernetes
containerization
Linux
Unix
Git
infrastructure as code
Python
Shell scripting
build systems
observability
monitoring
software engineering
developer productivity
incident response

Seniority

Mid level

Tools

AWS
Kubernetes
Linux
Python
Shell

Languages

English

Fields of study

Computer Science

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Work requirements

Jobs in Canada