Jobs in Canada

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Added 24 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Toronto, ON
- Contract
8+ years of experience in software engineering, including strong proficiency in Python and exposure to AI/ML or Generative AI solutions.
Added 24 days ago
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Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 24 days ago
S
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 24 days ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 24 days ago
H
Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Contract: 6 months, with a chance of extension
Added 24 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Hands-on experience with Python for data processing and automation
Added 24 days ago
IS
MLOps / AI Lead
Iris Software Inc.
Toronto, ON
- Full-time
…provides consumers, corporations, governments, and institutions with a broad range of financial services and…
Added 24 days ago
RB
Product Manager, Advanced Analytics, Tim Hortons, Canada
Restaurant Brands International
Toronto, ON · Corp - Toronto Corporate Office
- Full-time
Candidates will be expected to work onsite 5 days per week out of our office in Toronto, ON
Added 24 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 24 days ago
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MLOps Developer
L'Oréal
Toronto, ON
- Full-time
The Role In this critical role, you will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued. We are…
Added 25 days ago
SM
Senior Technical Lead (Full-Stack & Applied ML) (Contract)
Stichting Mission on Wheels
Calgary, AB
- Full-time
Everything we do is focused on helping our customers succeed. We lead with empathy, build trust through action, and create value for both external and internal customers.
Added 25 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
…where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain,…
Added 25 days ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
Software engineering depth: proficiency in Python, Java or C++ with strong engineering fundamentals.
Added 25 days ago
Q
FY27 Intern - Machine Learning AISW Internship - Canada (4 Months)
Qualcomm
Markham, ON
- Full-time
1+ years of academic experience with programming languages such as C, C++, Python, etc
Added 25 days ago
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Computer Vision Engineer
MobSquad
Toronto, ON
- Full-time
You have over five years of experience with relevant languages (Python, Java) and libraries (scikit-learn, Pandas)
Added 25 days ago
Q
Machine Learning Framework, Complier & Performance Engineer
Qualcomm
Markham, ON
- Full-time
…technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware…
Added 25 days ago
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Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You master general software engineering principles with Python and Java, building robust RESTful APIs, containerized services with Docker and Kubernetes, and native AWS infrastructure.
Added 25 days ago
AM
Silicon Design Engineer (1 year contract)
Advanced Micro Devices, Inc
Markham, ON
- Temporary
Experience with Perl/Python/Shell scripting, C++, SQL
Added 25 days ago
BS
Applied AI Engineer - Engineering Simulation & Design Exploration
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
We are looking for a hands-on Applied AI Engineer to experiment with these emerging technologies. Your role is to try new tools, test them, benchmark them, integrate them into prototypes,…
Added 25 days ago
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Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 25 days ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 CAD / year
- Full-time
- Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 25 days ago
K
Lead Data Engineer
Kabam
Vancouver, BC
- Full-time
…data enters and moves through the platform, and work directly with game, backend and analytics leads to deliver against company…
Added 25 days ago
R
Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
Software engineering depth: proficiency in Python, Java or C++ with strong engineering fundamentals.
Added 25 days ago
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Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…utilize external tools, and solve open-ended business problems with minimal human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our…
Added 25 days ago
C
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras
Toronto, ON
- Full-time
Proficiency in Python, Go, or a similar programming language, with demonstrated experience writing maintainable, production-quality code.

Cerebras

AI Inference Core - Senior SDET, Release Integration Testing

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 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 Role

We are looking for an experienced, hands-on Senior Software Development Engineer in Test (SDET) to join the Release Integration Testing (RIT) function within Release & Feature Qualification for AI Inference Core.

The Production Engine for Inference Core - turning integrated features into reliable production releases.

In this role, you will develop sophisticated test automation, validate complex AI inference systems, investigate cross-stack failures, and drive improvements in release quality and reliability. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify integration risks and ensure production readiness.

This is a highly technical, hands-on engineering role requiring strong software development, automation, and debugging skills. You will independently own complex testing initiatives, contribute to test architecture and release qualification strategies, and collaborate closely with engineering teams to improve system reliability.

Release Integration Testing (RIT) is the bridge between feature qualification and release qualification. Feature teams retain ownership of feature design, feature-level qualification, and feature regression. RIT focuses on integration readiness, cross-stack validation, regression stability, and first-pass rollout triage for AI Inference Core.

What Makes This Role Distinct

Software engineering applied to quality: Design and develop scalable test automation, frameworks, diagnostics, and tooling to validate complex AI inference systems - not just execute test cases.
Cross-stack technical challenges: Debug and validate interactions across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware.
Integration and release ownership: Independently drive integration testing, regression validation, and release qualification activities for complex inference-core features.
Inference-path validation: Identify and test high-risk interactions across runtime, host, device programming, memory, scheduling, and model execution.
Production reliability: Improve master and release-branch stability through robust automation, failure analysis, and actionable quality metrics.
Technical collaboration: Partner with SDETs, software engineers, infrastructure teams, and release owners to resolve complex issues and improve engineering efficiency.

What You Will Do

Design, develop, and maintain automated test frameworks, tools, and infrastructure to validate AI inference software across multiple components and system layers.
Independently own integration testing and qualification activities for complex inference-core features, identifying dependencies, interaction risks, and potential coverage gaps.
Develop and execute comprehensive end-to-end, integration, regression, and system-level tests across AI frameworks, runtime, compiler, kernels, infrastructure, and hardware.
Analyze unit, simulation, benchmark, feature-test, and integration results to assess readiness, identify gaps, and provide evidence-based recommendations for release qualification.
Investigate and debug complex cross-stack failures, perform root cause analysis, collaborate with engineering teams on fixes, and implement automated tests to prevent regressions.
Improve master and release-branch stability by identifying regressions, triaging failures, validating fixes, and contributing to release-quality metrics and reporting.
Build and enhance internal tooling for test automation, diagnostics, monitoring, dashboards, CI/CD workflows, and release qualification pipelines.
Collaborate with feature engineering, Integration, Core Infrastructure, and release teams to improve test coverage, accelerate debugging, and support coordinated feature rollouts.
Contribute to test architecture, risk-based testing strategies, and continuous improvements in automation efficiency, system observability, and release reliability.
Provide technical guidance and mentorship to junior engineers through code reviews, debugging sessions, and sharing testing best practices.

Minimum Skills & Qualifications

Strong software engineering fundamentals with professional experience developing software, automated testing frameworks, or test infrastructure.
Proficiency in Python, Go, or a similar programming language, with demonstrated experience writing maintainable, production-quality code.
Experience designing, developing, and maintaining automated tests and frameworks for complex software systems.
Strong debugging and problem-solving skills, including the ability to investigate failures across multiple components, analyze logs and system behavior, and identify root causes.
Solid understanding of software testing methodologies, including integration testing, system testing, regression testing, and end-to-end validation.
Experience working with CI/CD pipelines, test automation infrastructure, and software development workflows.
Working knowledge of operating systems, networking, distributed systems, or systems-level software concepts.
Ability to independently own complex technical problems, prioritize testing efforts, and drive issues through resolution.
Strong communication and collaboration skills, with experience working across multiple engineering teams to deliver reliable software.

Preferred Skills

Experience testing or developing distributed systems, infrastructure software, runtime systems, compilers, kernels, or other low-level software.
Experience with AI/ML infrastructure, LLM inference, model deployment, multimodal workloads, or large-scale compute environments.
Exposure to hardware accelerators, GPU systems, software/hardware integration, or high-performance computing.
Experience building scalable test frameworks, distributed test systems, release pipelines, or internal developer tools.
Familiarity with performance testing, profiling, observability, fault injection, reliability engineering, or production failure analysis.
Experience with containers, Kubernetes, cloud infrastructure, cluster orchestration, or large-scale distributed computing environments.
Experience using debugging and observability tools to diagnose complex system-level issues.
Experience working in fast-paced engineering environments, including startups or teams developing complex systems software.

What Success Looks Like

You independently deliver robust, scalable automation and test infrastructure that improves integration and release qualification.
Complex cross-stack defects are identified and resolved earlier in the development cycle, reducing issues discovered during final release qualification or production.
Regression testing provides reliable, actionable signals that improve master and release-branch stability.
Debugging cycles are shorter through improved diagnostics, automation, and effective collaboration across engineering teams.
Test coverage and qualification processes evolve to support increasingly complex AI inference features and workloads.
Your technical contributions improve release predictability, engineering efficiency, and overall system reliability.
You are a trusted technical contributor who helps raise engineering quality through strong code, sound judgment, and mentorship.

Location

This role follows a hybrid schedule and requires in-office presence at least three days per week. Fully remote work is not available.
Office locations: Sunnyvale, CA or Toronto, ON.

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.

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

Develop and maintain automated test frameworks and infrastructure, and independently lead integration, regression, and release qualification testing for AI inference systems across software and hardware layers. Investigate cross-stack failures, improve release stability and diagnostics, collaborate with engineering teams, and mentor junior engineers.

Requirements

Candidates need strong software engineering and automation experience, proficiency in Python, Go, or a similar language, and expertise in testing, debugging, and CI/CD workflows. They should understand systems concepts and be able to independently drive complex technical issues to resolution while collaborating across engineering teams.

Skills

Python
Go
Test Automation
Integration Testing
System Testing
Regression Testing
End-to-End Testing
CI/CD
Debugging
Root Cause Analysis
Distributed Systems
AI/ML Infrastructure
LLM Inference
Release Qualification
Performance Testing
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

AI Inference
Release Integration Testing
Test Automation
Python
Go
AI Frameworks
Runtime Systems
Compilers
Kernels
Distributed Systems
CI/CD
Regression Testing
System Testing
End-to-End Testing
Release Qualification
Root Cause Analysis
Diagnostics
Monitoring
Dashboards
LLM Inference
Model Deployment
Hardware Accelerators
High-Performance Computing
Performance Testing
Observability
Fault Injection
Kubernetes
Cloud Infrastructure
Cluster Orchestration

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Jobs in Canada