Jobs in Canada

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Added 25 days ago
AI and Data - Senior Consultant - AI Engineer
EY
AB · Calgary, AB
To qualify for the role, you must have
Added 25 days ago
AI and Data - Manager - AI Engineer
EY
AB · Calgary, AB
To qualify for the role, you must have
Added 25 days ago
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Data Engineering Expert
Co-operators
Guelph, ON · Toronto, ON · Mississauga, ON · Burlington, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 25 days ago
P
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
- Full-time
Strong software engineering background - years building and operating production systems at scale, with the ability to design and ship security-focused platforms, services, and tooling as a…
Added 25 days ago
C
Data Engineering Expert
Co-operators
Mississauga, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 25 days ago
C
Data Engineering Expert
Co-operators
Burlington, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 25 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 25 days ago
ZS
Forward Deployed Engineer (Python/PySpark + Claude + SQL + APIs + Data & MLOps)
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Must Have Technical/Functional Skills
Added 25 days ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
…scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines. This role sits at the intersection of research and systems engineering and will help…
Added 25 days ago
AS
Applied Scientist, Alexa Connections
Amazon Science
Vancouver, BC
- Full-time
We're building up the Alexa Connections science team, so you'll join early and grow alongside it. You'll work closely with experienced scientists and engineers invested in your development,…
Added 25 days ago
M
Principal AI Software Engineer
Mphasis
Toronto, ON
- Full-time
We are seeking a hands-on AI Engineer / Generative AI Developer to design, develop, test, and deploy enterprise AI applications on Google Cloud Platform (GCP). The ideal candidate will have…
Added 25 days ago
C
AI Inference Core - Infrastructure SW Engineer
Cerebras
Toronto, ON
- Full-time
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…
Added 25 days ago
YD
Senior Software Engineer
Yeji Data Lab
Montreal, QC
- Full-time
To excel in this senior role, candidates must possess:
Added 25 days ago
RA
Data Scientist – GenAI & Machine Learning
Recruit Action inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $60 CAD / hour
- Contract
Hybrid work arrangement with 3 days on-site, including Thursdays.
Added 25 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
8+ years of software development experience with strong hands-on expertise in Python.
Added 25 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 25 days ago
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Manager, Data Science, AI Risk
BMO
Sainte-Catherine, QC · Toronto, ON · FCP
- Full-time
Experience with data visualization and analytics platforms (e.g., Power BI, SQL, Python) preferred.
Added 25 days ago
RH
Building Sciences Lead (Specialist)
Rhizome HR
Markham, ON
- Full-time
Where licensed and competent, may assume professional engineering responsibility in accordance with PEO requirements; engineering work requiring professional responsibility remains…
Added 25 days ago
MI
Data Engineer
Mycionics Inc.
Kitchener, ON
- Full-time
This is a flexible, high-impact role. You will work directly with our AI Lead to manage our PostgreSQL databases, develop backend processing pipelines, and create the initial data…
Added 25 days ago
ZC
Python & Database Developer
Ztek Consulting
Montreal, QC
- Full-time
I would like to share an excellent opening Contact “Python & Database Developer do go through the details and kindly send me the updated resume.
Added 25 days ago
C
Lead AI/ML Data Scientist - VP
Citi
Mississauga, ON
- Full-time
…provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment…
Added 25 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
Added 25 days ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Strong software engineering background - years building and operating production systems at scale, with the ability to design and ship security-focused platforms, services, and tooling as a…
Added 25 days ago
QW
Senior AI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
Added 25 days ago
Senior Manager, Credit Modeling and Strategy
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office

Cerebras

AI Inference Core - Infrastructure SW Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 14, 2026
Experience: 3+ years of professional software-engineering experience.
Posting language: English
Posted: Oct 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

3+ 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

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, build, test, and maintain Python frameworks and services for orchestrating engineering workflows across machines and clusters, including scheduling, distributed execution, resource management, and failure recovery. Define maintainable APIs and system architecture, debug complex infrastructure issues, document and test reusable systems, and collaborate with engineering teams to deliver scalable solutions.

Requirements

Requires at least 3 years of professional software-engineering experience, strong Python proficiency, and experience designing maintainable software systems, libraries, frameworks, services, or APIs. Candidates should understand concurrency, operating systems, and distributed-systems fundamentals, and demonstrate strong independent debugging and problem-solving skills; experience with orchestration, test infrastructure, CI, Kubernetes, or remote execution is preferred.

Skills

Python
Software Architecture
Distributed Systems
Concurrency
Asynchronous Execution
Multiprocessing
Workflow Orchestration
Scheduling
Resource Management
Operating Systems
Debugging
Automated Testing
API Design
CI Systems
Kubernetes
Test Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Python
Cerebras Systems
AI Inference
Infrastructure Software
Distributed Systems
Workflow Orchestration
Scheduling Systems
Distributed Execution
Resource Management
Concurrency
Asyncio
Multiprocessing
Concurrent Futures
Operating Systems
Failure Recovery
Idempotency
Retries
Test Infrastructure
Pytest
CI Systems
Build Systems
Release Infrastructure
Developer Tooling
Kubernetes
Containerized Environments
Cluster Schedulers
Remote Execution
Control-Plane Software
API Design
Semiconductor Manufacturing

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Jobs in Canada