Jobs in Canada

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Added 1 day ago
SI
Senior Machine Learning Engineer, Premium Discovery
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
- Hybrid
We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations.
Added 1 day ago
S
Staff Software Engineer, Backend
Stream
Toronto, ON
- Full-time
- Hybrid
We’re also hiring Senior Engineers on these teams. If your experience fits Senior better than Staff, we’ll say so openly and talk it through with you.
Added 1 day ago
C1
Lead Engineer, Agentic Solutions & Automation
Company 19 - John Hancock Life Insurance Company (U.S.A.)
Toronto, ON · Waterloo, ON
- Full-time
The Lead Engineer, Agentic Solutions & Automation will be a key member of the team responsible for advancing agentic platforms and intelligent automation across North American Wealth at…
Added 1 day ago
Senior Engineer, Competitive Benchmarking & Performance
Elastic
Canada
…(RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance…
Added 1 day ago
RC
Senior DataOps/Cloud Data Engineer
Randstad Canada
Toronto, ON
- Contract
Assignment Type: Onsite (5 days per week)
Added 1 day ago
A
Senior AI Engineer
AXIS
Halifax, NS
- Full-time
The Senior AI Platform Engineer will help AXIS deliver secure, reliable, and reusable AI capabilities that support business teams across underwriting, claims, operations, and other…
Added 1 day ago
H
Sr Engineer, Infrastructure and Tooling
hireVouch
Toronto, ON
- Hybrid
Candidates should have 6+ years of experience in DevOps, Site Reliability Engineering (SRE), or platform engineering roles, with at least 2+ years leading technical initiatives or mentoring…
Added 1 day ago
Software Engineer I
Planview Incorporated
Vancouver, BC
…production. Implement features and fixes under the guidance of senior engineers, learning to write clean, testable code that meets team standards. As you grow, you’ll take on increasingly…
Added 1 day ago
CS
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 1 day ago
AI
Validation Lead-Fuse/SoC
AMD, Inc.
Markham, ON
- Full-time
We are seeking an engineer to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving, and prioritization skills. Individuals that…
Added 1 day ago
C
AI Automation Engineer (Data Products)
CGI
Montréal, QC
- Full-time
CGI Montréal is hiring a Senior AI/Automation Engineer to industrialize how data products are designed, built, and operated for clients in the manufacturing sector. You will apply and…
Added 1 day ago
C
Lead AI Platform Specialist
CGI
Montréal, QC
- Full-time
In this context, the PSC is creating a new Lead AI Platform Engineer position. The role will be responsible for structuring and evolving our AI capabilities, both on-premises and in the…
Added 1 day ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- $136,700 to $182,300 CAD / year
- Full-time
…Hapiko is a Spin Master company, which means we pair our small, senior engineering team with the reach of one of the world's largest toy companies to pioneer the future of…
Added 1 day ago
MC
Technical Consultant II (Software Engineer, Intermediate)
Myticas Consulting
BC
- Full-time
Technical Consultant II / Software Engineer II
Added 1 day ago
MC
Cloud Platform Engineer – Kubernetes
Myticas Consulting
Toronto, ON
- Contract
Required Qualifications – Must Have · Location Requirement: Candidates must be based in the Greater Toronto Area (GTA).
Added 1 day ago
MC
Data Analyst – Power BI / Microsoft Fabric
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 1 day ago
MC
Lead Cloud Operations Engineer – Azure & Kubernetes
Myticas Consulting
Toronto, ON
- Full-time
Our client is seeking a Lead Cloud Operations Engineer to provide technical leadership while remaining hands-on in the design, implementation, and support of enterprise-scale cloud…
Added 1 day ago
WD
Senior Site Reliability Engineer
Walt Disney Pictures
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Senior Site Reliability Engineer will drive the design, implementation, and operation of reliable, scalable infrastructure across the studio. This role partners closely with team…
Added 1 day ago
B
Application Developer – Sr Python Engineer
BeachHead
Toronto, ON
- Contract
Are you a seasoned Python Engineer ready to build scalable microservices and modern data solutions? Apply Now!
Added 1 day ago
Senior Software Development Engineer
GoDaddy
Canada
Help shape how engineers, analysts, and business teams build on and use our enterprise data platform. You'll design data products and the self-service experiences around them - from the…
Added 1 day ago
Senior Software Engineer
Velora
BC
We’re hiring a Senior Software Engineer to help build Velora’s AI-native software platform, giving nonprofit teams more time for their mission and less time spent on administration. Your…
Added 1 day ago
M
Senior DataOps/Cloud Data Engineer
modis
Toronto, ON
- Contract
- Temporary
Akkodis is seeking an experienced Senior DataOps/Cloud Data Engineer to support the design, development, modernization, and optimization of enterprise cloud data platforms and large-scale…
Added 1 day ago
RC
Senior DataOps/Cloud Data Engineer
Randstad Canada
Toronto, ON
- Contract
Dedicated Onsite Synergy: Collaborate directly alongside senior data leads, architects, and engineers in a focused 5-day per week Toronto workspace
Added 1 day ago
RS
Senior Analytics Engineer, Tableau
ResMed SaaS Holdings Inc.
Halifax, NS
- $133,000 to $166,000 USD / year
- Full-time
You play a key role in shaping the technology backbone behind Resmed’s advanced analytics ecosystem. As a Senior Analytics Engineer, you’ll design, optimize, and automate scalable…
Added 1 day ago
RQ08858 - DevOPS/Cloud Engineer - Senior
Rubicon Path
Toronto, ON
Experience in scripting languages like Python, Bash, PHP, Java, JavaScript, Node, etc.

Cerebras Systems

AI Inference Core - Senior SDET, Release Integration Testing

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
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

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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Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Senior SDET at Cerebras Systems will build automated test frameworks and tools, and investigate failures that span AI frameworks, runtime, compiler, kernels and hardware. They will own integration and regression testing and help decide whether releases are ready to ship.

Requirements

Cerebras Systems needs candidates with solid software engineering skills in Python, Go or a similar language, and experience building automated tests for complex systems. They also need strong debugging skills, CI/CD experience, and the ability to work independently across multiple engineering teams.

Skills

Python
Go
test automation frameworks
integration testing
system testing
regression testing
end-to-end testing
CI/CD pipelines
debugging
root cause analysis
log analysis
distributed systems
operating systems
networking
runtime systems
compilers
kernels
GPU systems
containers
Kubernetes
performance testing
profiling
observability
fault injection
test architecture

Keywords

Senior SDET
test automation
release integration testing
release qualification
integration testing
regression testing
end-to-end testing
AI inference
LLM inference
Python
Go
CI/CD
debugging
root cause analysis
distributed systems
compilers
GPU
hardware accelerators
Kubernetes

Seniority

Senior

Tools

CI/CD pipelines
Kubernetes
GPU systems

Languages

English

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Work requirements

Jobs in Canada