Jobs in Canada

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Added 9 hours ago
HT
Engineer - ML & RL
Huawei Technologies Canada Co., Ltd.
Edmonton, AB
- Contract
- On-site
Huawei Canada has an immediate 12-month contract opening for an Engineer.
Added 9 hours ago
HT
Co-op Engineer - openJiuwen AI Agent Platform
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
- On-site
Huawei Canada has an immediate co-op opening for an Engineer.
Added 9 hours ago
AM
Principal Engineer, Efficient GenAI
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The AI Models and Applications team at AMD is looking for a specialized Principal Engineer who is passionate about enabling innovative and efficient Generative AI training and inference at…
Added 9 hours ago
NH
Senior Backend Engineer
Norbert Health
Montréal, QC
- Full-time
We're looking for a Senior Backend Engineer to own and evolve the backbone of our system.
Added 9 hours ago
S
Electrical Engineer
SBQuantum
Sherbrooke, QC
- Full-time
- On-site
As an Electrical Engineer, you will play a key role in developing the next generation of SBQuantum’s quantum diamond magnetometer for space applications and other harsh environments. You’ll…
Added 9 hours ago
CM
Engineer, Global Identity and Access Management
Colliers Macaulay Nicolls Inc.
ON · BC · AB
- Full-time
As an IAM Engineer within our Global Identity & Access Management (IAM) team, you'll play a pivotal role in designing, implementing, and supporting scalable identity governance solutions…
Added 9 hours ago
CS
Senior Quality Assurance Engineer
Canadian Solar SSES (Canada) Inc.
Kitchener, ON
- Full-time
- On-site
We are seeking a skilled and passionate Senior Quality Assurance Engineer to join our dynamic team and contribute to the development of an Energy Management System (EMS) for utility-grade…
Added 9 hours ago
MS
Senior Field Applications Engineer (FAE)
MCHP Semiconductor Canada ULC
ON
- $145,000 to $195,000 CAD / year
- Full-time
We currently have an opening for a Senior Field Applications Engineer (FAE). It is a high-impact technical role for an experienced hardware, firmware, or embedded systems engineer seeking…
Added 9 hours ago
Device Driver Engineer
EnCharge AI
Canada
EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides…
Added 9 hours ago
AI Runtime Engineer
EnCharge AI
Canada
EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides…
Added 9 hours ago
Datacenter & Agentic AI Workload Performance Optimization Engineer
Tenstorrent
Toronto, ON
Tenstorrent is looking for a Workload Performance Optimization Engineer to help optimize the software workloads that run on our next-generation RISC-V platforms. You’ll work across modern…
Added 9 hours ago
Ingénieur(e) principal(e) en IA audio / Senior Audio AI Engineer
WaveShaper AI
Montréal, QC
We're seeking a Senior Audio AI Engineer with an entrepreneurial mindset to develop neural audio models for edge deployment. Drive breakthrough ML innovations while moving fast in a startup…
Added 9 hours ago
W
Senior / Staff Perception Software Engineer
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
- Hybrid
As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of…
Added 9 hours ago
W
Research Engineer, World Models
Waabi
Toronto, ON
- $155,000 to $269,000 USD / year
- Full-time
- Hybrid
…scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can…
Added 9 hours ago
W
Research Engineer
Waabi
Toronto, ON
- $122,000 to $215,000 USD / year
- Full-time
- Hybrid
As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of…
Added 9 hours ago
CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 9 hours ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 9 hours ago
CS
Sr. Data Center Network Provisioning Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 9 hours ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 9 hours ago
CS
Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 9 hours ago
CS
Senior Runtime Engineer
Cerebras Systems
Canada
- Full-time
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…
Added 9 hours ago
CS
Full Stack LLM Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 9 hours ago
C
Member of Technical Staff - Sovereign AI
Cohere
Toronto, ON
- $295,000 to $535,000 CAD / year
- Full-time
- On-site
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
Added 9 hours ago
C
Member of Technical Staff, Agent Code
Cohere
Toronto, ON
- $295,000 to $535,000 CAD / year
- Full-time
- Hybrid
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
Added 9 hours ago
C
Member of Technical Staff, Training Performance Engineer
Cohere
Toronto, ON · Montréal, QC
- $295,000 to $535,000 CAD / year
- Full-time
- Hybrid
…identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and…

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.

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

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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Jobs in Canada