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Added 8 mins ago
RB
Senior Principal AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 52 mins ago
D
C++ Software Engineer - Machine Vision (AOI)
DaoAI
Vancouver, BC
- $90,000 to $120,000 CAD / year
- Full-time
You’ll join our existing R&D team and work alongside the tech lead and senior engineers on the core of the product: a modern C++ image-acquisition and inspection engine, paired with a…
Added 1 hour ago
V
QA ENGINEER
VeriiPro
Vancouver, BC
- Contract
Lululemon Commerce and Services team is looking for a Senior Quality Assurance Engineer. The team is responsible for application architecture, development and innovation of new feature…
Added 1 hour ago
Senior Engineer (Water Services)
Region of Waterloo
Kitchener, ON
Must be licensed and in good standing as a Professional Engineer in the Province of Ontario, or be a member in good standing holding a Limited License in the area of practice(s), issued by…
Added 2 hours ago
L
Senior Application Engineer - IAM
lululemon
Vancouver, BC
- Full-time
As a Senior Application Engineer, you will lead the design and implementation of complex application solutions spanning multiple business processes and system modules, establishing…
Added 3 hours ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
As Principal AI Engineer you will own the technical direction of that journey. You will define the platform architecture, the production boundary between code that runs in production and…
Added 3 hours ago
J
Staff Embedded Software Engineer, Virtualization
Jobgether
Canada
- $137,300 to $181,890 CAD / year
- Full-time
…steps. Our partner is looking for a Staff Embedded Software Engineer, Virtualization based in…
Added 3 hours ago
J
Staff Embedded Software Engineer, Virtualization
Jobgether
Canada
- $137,300 to $181,890 CAD / year
- Full-time
…steps. Our partner is looking for a Staff Embedded Software Engineer, Virtualization based in…
Added 3 hours ago
WI
Senior Mechanical Engineer, Mission Critical Buildings
WSP in Canada
Vancouver, BC
- Full-time
Advance business growth through proposals, client relationships, technical due diligence, Owner’s Engineer services, and identification of opportunities across the mission critical sector.
Added 3 hours ago
WI
Senior Mechanical Engineer, Mission Critical Buildings
WSP in Canada
Vancouver, BC
- Full-time
Advance business growth through proposals, client relationships, technical due diligence, Owner’s Engineer services, and identification of opportunities across the mission critical sector.
Added 5 hours ago
P
Senior Data Engineer (Lead)
Punt
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
We are looking for a Senior Data Engineer to join our Data Spine function. The team owns the canonical event contract, the warehouse, the certified data layer and the serving layer. Every…
Added 5 hours ago
P
Senior Software Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
…Labs group on new concepts. As part of this work, you help re-engineer software delivery so that AI systems and workflows are integrated directly into our operating model and…
Added 5 hours ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Added 5 hours ago
P
Senior Software Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Our hospitality team builds the upsell engine behind millions of guest journeys, and right now we need a senior engineer who wants to re-engineer how software gets built by weaving AI into…
Added 5 hours ago
7
Senior Security Engineer
7shifts
Saskatoon, SK
- $140,000 to $170,000 CAD / year
- Full-time
Engineer and tune Datadog SIEM detections and our wider technical controls to cut noise, close coverage gaps, and route high-fidelity alerts straight to #secops
Added 5 hours ago
7
Senior Security Engineer
7shifts
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
Engineer and tune Datadog SIEM detections and our wider technical controls to cut noise, close coverage gaps, and route high-fidelity alerts straight to #secops
Added 5 hours ago
BS
Senior Software Developer
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
We are seeking a talented and experienced Senior Software Developer to join our Civil Engineering Applications team. In this role, you will help shape the future of industry-leading design…
Added 5 hours ago
BS
Senior Software Engineer
Bentley Systems
Quebec, QC · Canada Quebec QC Office
- Full-time
We are seeking a talented and experienced Senior Software Developer to join our Civil Engineering Applications team. In this role, you will help shape the future of industry-leading design…
Added 6 hours ago
AM
Sr. Software Engineer– Kernel & Device Drivers (Temp 1 Year Contract)
Advanced Micro Devices, Inc
Vancouver, BC
- Temporary
AMD is looking for a senior software engineer to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD's abilities to deliver the highest…
Added 6 hours ago
A
Forward Deployed AI Engineer
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's…
Added 6 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's…
Added 7 hours ago
P
Software Engineer
PCMI
Canada
- Full-time
The Software Engineer is responsible for developing and maintaining high-quality web applications using .NET Core, ASP.NET, Angular, and SQL Server. Working closely with senior developers…
Added 7 hours ago
SS
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
- Full-time
client is looking for a senior software engineer - a builder first - for our AI Solutions team. This is a hands-on development role, not machine-learning research: you’ll build production…
Added 7 hours ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Contract
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 7 hours ago
KG
Java Backend & Integration Engineer (Quarkus & XML/XSLT)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking a senior Java Backend & Integration Engineer with 7 to 13 years of enterprise development experience. This role focuses heavily on data transformation pipelines,…

Cerebras

AI Inference Core - Senior SDET, Release Integration Testing

Toronto, ON, Canada

Full-time

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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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