Jobs in Canada

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Added 25 days ago
T
Senior Windows Server Automation Engineer
TD
Toronto, ON
- Full-time
Automation Development: Substantial experience independently designing, developing, testing, debugging, and maintaining reusable, production-grade automation code using Ansible and/or…
Added 25 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
We are seeking a highly skilled incumbent with deep, hands-on experience designing, implementing, and optimizing enterprise-scale solutions on Google Cloud Platform (GCP), with proven…
Added 25 days ago
E
Sr. Backend Engineer - Test Automation
eBay
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer with strong backend development experience and a passion for building high-quality, reliable software through automation.
Added 25 days ago
TD
Associate, Strategic Finance & Analytics
Tetra Digital Group
Toronto, ON
- $125,000 to $175,000 CAD / year
- Full-time
🏢 Toronto, in-office five days a week through a three-month onboarding period, hybrid (three days in office) thereafter
Added 25 days ago
Senior Cloud Security & DevSecOps Engineer
Capgemini
Toronto, ON
Familiarity with security and compliance frameworks such as PCI DSS, SOC 2, ISO 27001, and CIS.
Added 25 days ago
Principal Software Developer
Aspen Technology
Montreal, QC
AspenTech is looking for a talented and experienced Developer with Quality background to join our Enterprise Operations Platform (EOP) organization. In this role, you will be responsible…
Added 25 days ago
D
Senior Automation Engineer
DIRTT
AB · Calgary, AB
- Full-time
Internal Collaboration: Partner directly with internal SMEs to capture process definitions, business rules, and edge-case logic, translating these requirements into production-ready…
Added 26 days ago
L
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 26 days ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
Design and build multi-agent workflows with orchestration frameworks (LangGraph, CrewAI, AutoGen) including tool use, memory, planning, guardrails and human-in-the-loop patterns.
Added 26 days ago
T
Fraud Specialist, Supplier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
Understanding of industry standards with respect to AIT and fraud handling such as frameworks from i3forum, GSMA, MEF or ITW Global Leaders’ Forum.
Added 26 days ago
Q
FY27 Intern - Machine Learning AISW Internship - Canada (4 Months)
Qualcomm
Markham, ON
- Full-time
Proficiency in C++, Python, and Machine Learning Frameworks
Added 26 days ago
C
Python Full Stack Developer (AI & Cloud Applications)
CGI
St. John's, NL · Greater St. John's Metropolitan Area
- Full-time
This role follows a hybrid work model requiring three days per week onsite
Added 26 days ago
C
Software Development Engineer in Test (Python)
CGI
Halifax, NS
- Full-time
This is a full-time permanent opportunity based in Bedford, Nova Scotia, requiring four days per week onsite
Added 26 days ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Toronto, ON
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 26 days ago
BS
Applied AI Engineer - Engineering Simulation & Design Exploration
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
Experience with PyTorch, JAX, or similar ML frameworks
Added 26 days ago
D
Devsecops Engineer
Deel
Canada
- Full-time
Basic programming skills in JavaScript, TypeScript, Python; experience with version control (e.g., Git) and CI/CD pipelines.
Added 26 days ago
PC
Lead Data Consultant, Manager
PwC Canada
Toronto, ON
- Full-time
…and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the…
Added 26 days ago
H
Mobile Engineer
HCLTech
Vancouver, BC
- $80,000 to $90,000 CAD / year
- Full-time
…quality deliverables for each release. Support high-quality automation test engineering, test plan and principles, adhere to QA best practices. Perform other duties as…
Added 26 days ago
R&
Level IV Quality Engineer (QE)
Robertson & Company Ltd.
Toronto, ON
- Contract
Test automation frameworks and scripting (Java, JavaScript, or Python)
Added 26 days ago
AS
AI Developer/Bot Developer
Apex Systems
Toronto, ON
- $80 to $90 CAD / hour
- Full-time
Experience with AI orchestration or agent frameworks.
Added 26 days ago
R
Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
Design and build multi-agent workflows with orchestration frameworks (LangGraph, CrewAI, AutoGen) including tool use, memory, planning, guardrails and human-in-the-loop patterns.
Added 26 days ago
E
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 26 days ago
C
Staff Backend Engineer | Remote, US & Canada
Cube
Canada
- Full-time
Engineering Leader: Proven ability to define engineering standards, design reusable abstractions, and improve developer velocity through internal tooling and frameworks.
Added 26 days ago
SI
Full-Stack Developer (Rust & WebAssembly)
SuperQubit Inc.
Markham, ON
- $80,000 to $120,000 CAD / year
- Full-time
Python: experience with scripting, automation, testing, or tooling.
Added 26 days ago
C
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras
Toronto, ON
- Full-time
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…

Cerebras

AI Inference Core - Senior SDET, Release Integration Testing

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

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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.

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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