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Added 11 hours ago
RQ08685 - DevOPS/Cloud Engineer - Senior
Rubicon Path
Toronto, ON
- Please note this role is part of a Hybrid Work Arrangement and resource(s) will be required to work at a minimum of 2 days per week at 5700 Yonge St
Added 11 hours ago
RQ08713 - Systems Testing/QA Specialist - Senior
Rubicon Path
Toronto, ON
Use automation tools and frameworks such as Selenium, Appium, Katalon or similar to create robust and reusable test scripts.
Added 11 hours ago
RQ09019 - Technology Architect - Senior
Rubicon Path
Toronto, ON
· Network Automation & Scripting Familiarity with automation frameworks (Ansible, Terraform) and scripting languages (Python, PowerShell) for firewall automation.
Added 11 hours ago
RQ08343 - Systems Testing/QA Specialist - Senior
Rubicon Path
Toronto, ON
· Utilizes test automation frameworks/tools that supports PHP and JavaScript, Python
Added 11 hours ago
RQ08833 - Technology Architect - Senior
Rubicon Path
Toronto, ON
Must haves:Proficiency in designing and implementing cloud solutions, particularly with platforms like Azure and AWS
Added 11 hours ago
RC
Sr Data Engineer
Randstad Canada
Mississauga, ON
- $66.42 to $73.8 CAD / hour
- Contract
CI/CD & Engineering Standards: Maintain version control in Git, participate in peer code reviews, build CI/CD pipeline automation, and document technical design specs.
Added 11 hours ago
RQ08848 - Systems Testing/QA Specialist - Senior
Rubicon Path
Toronto, ON
Scripting & Programming Languages: Strong programming skills in languages such as Java, Python, JavaScript, NestJS etc. with the ability to write robust and reusable automation scripts.
Added 11 hours ago
RQ08864 - Systems Testing/QA Specialist - Senior
Rubicon Path
Toronto, ON
Use automation tools and frameworks such as Selenium, Appium, Katalon or similar to create robust and reusable test scripts.
Added 11 hours ago
Sr. Machine Learning Software Verification Engineer
Talentlab
Toronto, ON
…solutions. This role will involve developing test strategies, automation frameworks, and test cases to ensure the quality, reliability, and performance of AI software running on…
Added 11 hours ago
Lead / Principal System Verification Engineer – Optical Networking
Talentlab
Ottawa, ON
Develop automated test frameworks and scripts using Python, supporting continuous integration and regression testing.
Added 11 hours ago
Lead / Principal Software Integration Engineer – Optical Networking
Talentlab
Ottawa, ON
Develop and maintain Python-based test automation frameworks, supporting continuous integration and regression testing.
Added 11 hours ago
Software Developer Intern 8 Months - Winter 2027
Dayforce
Toronto, ON
…as frontend and backend development, APIs and services, test automation, cloud and data platforms, developer tooling, or AI-enabled…
Added 11 hours ago
Software Developer Intern 8 Months - Winter 2027
Dayforce
Toronto, ON
…as frontend and backend development, APIs and services, test automation, cloud and data platforms, developer tooling, or AI-enabled…
Added 11 hours ago
P
Agentic AI Platform Engineer (PL862)
Paralucent
Toronto, ON
- Full-time
- Hybrid
Strong programming experience with languages such as Python, TypeScript, JavaScript, Java, C#, or similar modern development languages.
Added 11 hours ago
Java Backend Software Engineer
Global Talent Alliance, Canada
Ottawa, ON
…customers to achieve continuous alignment of their security frameworks with their digital realities, across all asset types IT, IoT, OT, and IoMT. It is a non-stop journey, managing cyber…
Added 11 hours ago
UG
Principle Quality Engineer - B.C. Canada On Site
UnitedHealth Group
Vancouver, BC
- $108,500 to $225,200 CAD / year
- Full-time
3+ years of hands-on test automation experience with modern frameworks (Playwright preferred, or Selenium, Cypress, Appium) using JavaScript/TypeScript, Python, Java, or C#
Added 11 hours ago
Senior AI Engineer
Novisto
Montréal, QC
AI/Search Tech: Hands-on experience with vector databases (pgvector, Qdrant, Elasticsearch, etc.), LLM provider APIs, and orchestration frameworks such as LangGraph or Google ADK.
Added 11 hours ago
A
Data Engineer
Autodesk
Toronto, ON
- $88,000 to $128,700 CAD / year
- Full-time
- Hybrid
3+ years of strong programming experience in Python and SQL, with demonstrated ability to write clean, modular, maintainable, and testable code
Added 11 hours ago
CS
AI Inference Core - Senior Infrastructure Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources,…
Added 11 hours ago
AI
Forward Deployed AI Engineer
AGF Investments Inc.
Toronto, ON
- $130,000 to $180,000 CAD / year
- Full-time
…priorities will focus on Investment Management and Distribution, with expansion across all business functions over…
Added 11 hours ago
AI
Forward Deployed AI Engineer
AGF Investments Inc.
Toronto, ON
- $130,000 to $180,000 CAD / year
- Full-time
…priorities will focus on Investment Management and Distribution, with expansion across all business functions over…
Added 11 hours ago
A
Principal Machine Learning Developer, AI/ML Platform
Autodesk
Toronto, ON · Montréal, QC
- $153,000 to $224,400 CAD / year
- Full-time
- Hybrid
…entertainment software, is seeking a skilled Principal MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning…
Added 11 hours ago
Services Professional (Early Career)
Ericsson
ON
Familiarity with agent frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or AutoGen (preferred)
Added 11 hours ago
A
Machine Learning Operations Developer, AI/ML Platform
Autodesk
Montréal, QC · Toronto, ON · ON
- $99,000 to $145,200 CAD / year
- Full-time
- Hybrid
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 11 hours ago
A
Software Development Manager, Horizontal Services
Autodesk
Montréal, QC · Toronto, ON
- Full-time
- Hybrid
Partner with cross-functional teams to identify opportunities for automation, scalability, and improved developer experiences

Cerebras Systems

AI Inference Core - Senior Infrastructure Software Engineer

Toronto, ON, Canada

Hybrid

Full-time

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Job details

Job type: Full-time
Workplace: Hybrid
Experience: 5+ years of professional software-engineering experience.
Posting language: English
Posted: Sep 15, 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.

About the Team

The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras.

Our infrastructure coordinates complex work across machines, clusters, development environments, and hardware systems. We build orchestration frameworks, execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at scale.

These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources, execution state, concurrency, failures, retries, dependencies, and observability across large and complex environments.

About the Role

We are hiring a Software Engineer to design and build the core software behind Cerebras engineering infrastructure.

You will work on Python frameworks, orchestration systems, distributed execution, scheduling, test infrastructure, and developer tooling. You will help define the architecture and APIs that other engineering teams depend on every day.

This role is a strong fit for an engineer who enjoys reading unfamiliar code, understanding how systems fit together, debugging difficult problems, and improving the underlying design rather than applying one-off fixes.

We value strong software-engineering fundamentals, independent problem solving, and sound systems thinking more than familiarity with any particular infrastructure product.

Responsibilities

Design, develop, test, and maintain Python frameworks and services used to orchestrate engineering workflows across machines and clusters.
Build reusable abstractions for scheduling, distributed execution, resource management, test execution, workflow planning, and failure recovery.
Define clear APIs, module boundaries, extension points, and data models that allow infrastructure systems to evolve without becoming difficult to maintain.
Reason about concurrency, asynchronous execution, multiprocessing, state management, retries, idempotency, cancellation, and partial failures.
Debug complex issues spanning Python applications, operating systems, processes, filesystems, networking, remote machines, and distributed services.
Write high-quality automated tests and documentation for infrastructure that is expected to be reliable and widely reused.
Partner with platform, CI, release, quality, ML systems, and product engineering teams to understand requirements and translate them into scalable software designs.

Skills & Qualifications

5+ years of professional software-engineering experience.
Strong proficiency in Python and a solid understanding of the language’s strengths, limitations, and runtime behavior.
Experience designing maintainable software systems, libraries, frameworks, backend services, or developer-facing APIs.
Good judgment around software architecture, abstraction boundaries, design patterns, extensibility, and long-term maintainability.
Understanding of concurrency concepts such as processes, threads, asynchronous execution, synchronization, and shared state.
Foundational understanding of operating systems, including processes, signals, filesystems, resource management, and program execution.
Foundational understanding of distributed-systems concepts such as retries, timeouts, idempotency, partial failure, coordination, and eventual consistency.
Strong debugging and problem-solving skills, including the ability to form hypotheses, gather evidence, and work through unfamiliar systems independently.

Preferred Skills & Qualifications

Experience with Python concurrency technologies such as asyncio, multiprocessing, concurrent futures, or event-driven systems.
Experience building orchestration engines, workflow systems, schedulers, distributed job runners, or control-plane software.
Experience developing test infrastructure or extensions for frameworks such as pytest.
Familiarity with CI systems, build systems, release infrastructure, or developer-productivity tooling.
Experience with Kubernetes, containerized environments, cluster schedulers, or remote execution systems.
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 Senior Infrastructure Software Engineer at Cerebras Systems will design and maintain Python frameworks that coordinate engineering work across machines and clusters. The role also involves debugging complex distributed problems and writing reliable tests and documentation.

Requirements

Candidates need 5+ years of professional software engineering experience, strong Python skills and experience designing maintainable systems or APIs. Solid understanding of concurrency, operating systems and distributed-systems concepts is also required.

Skills

Python
pytest
asyncio
multiprocessing
concurrent.futures
Kubernetes
containers
CI systems
build systems
release infrastructure
software architecture
API design
distributed systems
concurrency
operating systems
debugging
automated testing
orchestration
scheduling
workflow systems

Keywords

Python
distributed systems
orchestration
scheduling
workflow engine
test infrastructure
pytest
developer tools
asyncio
multiprocessing
Kubernetes
containers
CI/CD
build systems
control plane
software architecture
backend engineer
AI infrastructure
Cerebras

Seniority

Senior

Tools

Python
pytest
Kubernetes

Languages

English

Fields of study

Computer Science

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Work requirements

Jobs in Canada