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Added 9 hours ago
A
Property Accountant (CPA Pre-approved Program)
Allied
Toronto, ON
- $55,000 to $80,000 CAD / year
- Full-time
- On-site
1-2 years of work experience in Property Accounting.
Added 9 hours ago
A
Corporate Accountant (CPA Pre-approved Program)
Allied
Toronto, ON
- $55,000 to $80,000 CAD / year
- Full-time
- On-site
1-2 years of experience in finance or accounting, preferably in the commercial real estate or public accounting.
Added 9 hours ago
Sales Manager
Third-Party Job Posts
Canada
Experience in selling technology solutions into the hotel or hospitality industry
Added 9 hours ago
Sales Director
Third-Party Job Posts
Canada
5+ years of experience as a top-performing sales professional, using a highly consultative approach.
Added 9 hours ago
CS
AI Fleet Platform Software 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
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
Software Engineer - Host and Network IO
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 GPU Inference SDET
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 Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Drive technical direction and cross-team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure.
Added 9 hours ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
Added 9 hours ago
CS
Senior Backend Engineer, Inference Cloud
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Relevant experience includes cloud platforms, developer tools, billing and metering systems, identity and access management, observability, or high-volume data processing. Experience with…
Added 9 hours ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
Added 9 hours ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Experience building internal developer platforms or self-service infrastructure products.
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 SDET, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Experience building automation tools, testing frameworks, or internal developer tooling.
Added 9 hours ago
CS
Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
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
Applied Machine Learning Research Scientist
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 4+ years of experience (including internships, research, or industry experience) working with machine learning systems; we are hiring multiple positions for various levels.
Added 9 hours ago
CS
ML Systems Performance 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
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion).
Added 9 hours ago
CS
Staff Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
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
FPGA 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
Chief of Staff to the Managing Director of AI
Human Agency
Canada
Added 9 hours ago
Chief of Staff to the Managing Director of AI
Human Agency
Toronto, ON
Added 9 hours ago
Chief of Staff to the Managing Director of AI
Human Agency
Vancouver, BC
Added 9 hours ago
Chief of Staff to the Managing Director of AI
Human Agency
Montréal, QC

Cerebras Systems

Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Hybrid

Full-time

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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.

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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