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Added 2 mins ago
A4
Senior QMS / Quality Engineer ( Medical Devices)
Avenue 45
Mississauga, ON
- $100,000 to $135,000 CAD / year
- Full-time
The Senior Quality Management System (QMS) Quality Engineer is a technical leader responsible for maintaining, improving, and ensuring the effectiveness of the Company's Quality Management…
Added 3 mins ago
Environment and Remedial Works - Coordinator of Climate Monitoring
Cree Nation Government
Eeyou Istchee, QC
Lead the development of a Climate Monitoring Platform integrating Traditional Ecological Knowledge (TEK) and real-time data sharing.
Added 3 mins ago
UO
Marketing Specialist
University of Alberta
Edmonton, AB
- Full-time
Reporting to the Director of Brand, the Marketing Specialist will help to develop and execute the University of Alberta’s brand strategy to build high-level brand awareness, drive…
Added 26 mins ago
TC
Dynatrace- Synthetic Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
We are seeking a highly skilled and experienced Platform Engineer with strong DevOps and Site Reliability Engineering (SRE) expertise to join our technology team. The ideal candidate will…
Added 46 mins ago
AI Data Developer I, Professional Services, Google Cloud
Google
Toronto, ON
Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and…
Added 46 mins ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and…
Added 1 hour ago
T
Client Solutions Manager - Industry Operations (Commerce) - Toronto
TikTok
Toronto, ON
- Full-time
- Proficiency in campaign analytics and reporting tools (Excel, Thinkcell, dashboards), with the ability to extract actionable insights from platform data.
Added 1 hour ago
SL
Director, Domain Enterprise Architect, Technology Modernization and Cloudification
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
…opportunities, unsupported technologies, security vulnerabilities, platform fragmentation, technical debt, lifecycle exposure, resilience gaps, and operational…
Added 1 hour ago
SL
Director, Domain Enterprise Architect, RPA and Intelligent Automation
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
· Strong financial and analytical acumen, including investment prioritization, value realization, platform rationalization, technical debt, risk, and technology portfolio trade-offs.
Added 1 hour ago
C
Senior Manager, Automation
CIBC
Toronto, ON
- Full-time
…strategic value across CIBC. As Sr. Manager, Automation, you'll lead our automation strategy and initiatives, serving as the subject matter expert for automation platforms and tools.…
Added 1 hour ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Own technical direction and architecture evolution of a live, revenue-generating platform
Added 1 hour ago
A
Software Engineering Manager
AutoTrader.ca
Toronto, ON · Etobicoke, ON
- Full-time
…and drive sales. We are looking for an Engineering Manager to lead the full-stack engineering team responsible for our Activix (CRM) Platform and related…
Added 1 hour ago
A
Software Engineering Manager
AutoTrader.ca
Toronto, ON
- Full-time
…and drive sales. We are looking for an Engineering Manager to lead the full-stack engineering team responsible for our Activix (CRM) Platform and related…
Added 1 hour ago
Software Engineering Manager
AutoTrader.ca
Toronto, ON
…and drive sales. We are looking for an Engineering Manager to lead the full-stack engineering team responsible for our Activix (CRM) Platform and related…
Added 2 hours ago
SL
Director, Enterprise Architecture Strategy, Core Platform
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
· Provide strategic analysis, recommendations, visibility and executive reporting into architecture decisions, investments, dependencies, risks, and outcomes.
Added 3 hours ago
S
Utilities Manager – ALTO
SYSTRA
Montreal, QC
- Full-time
…network. The Utilities Manager will work closely with the Corridor Lead on the project to ensure the best outcomes for the coordinated…
Added 6 hours ago
S
Senior Software Developer
Seequent
Quebec, QC · Canada Quebec QC Office
- Full-time
Reporting to the Manager, Software Engineering, the Senior Software Developer, Subsurface Information Management, is responsible for the end-to-end design, development, and release of…
Added 7 hours ago
T
Wealth Operations Automation Intern / Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
Reporting to the Sr Manager, Business Innovation and Transformation team, the successful candidate will have the opportunity to lead and support programs that enhance the client and…
Added 9 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 10 hours ago
R|
Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…to join the Capture and Optimization of Research Data (CORD) platform of the Centre for Outcomes Research and Evaluation (CORE). CORD provides researchers with expert support, technical…
Added 12 hours ago
M
Director, Digital Storefront Performance & Insights
Manulife
Toronto, ON
- Full-time
Reporting to the Global Head of Digital Content Delivery, the Director, Digital Storefront Performance & Insights will lead the measurement, performance intelligence, reporting and insights…
Added 12 hours ago
LI
Solutions Designer
Lotus IT Solutions
Toronto, ON
- Contract
The Ministry of Public and Business Service Delivery and Procurement is seeking a Senior Solutions Designer to lead a Proof of Concept (POC) initiative within the Enterprise Financial…
Added 12 hours ago
WI
Strategic Pursuit Manager - Property & Buildings
WSP in Canada
Victoria, BC
- Full-time
…in Western Canada. As a Strategic Pursuit Manager, you will lead the positioning, capture planning, and proposal development of high-value strategic opportunities that drive sustainable…
Added 12 hours ago
WI
Strategic Pursuit Manager - Property & Buildings
WSP in Canada
Victoria, BC
- Full-time
…in Western Canada. As a Strategic Pursuit Manager, you will lead the positioning, capture planning, and proposal development of high-value strategic opportunities that drive sustainable…
Added 12 hours ago
C
Director Consulting Expert - Wealth 360
CGI
Toronto, ON
- Full-time
CGI is seeking a Director, Wealth360 to provide day-to-day business and product leadership for our Wealth360 platform. This role will translate executive strategy into clear product…

Cerebras

AI Inference Core - Technical Lead Manager, Release Qual & Integration

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 a hands-on Technical Lead Manager (Release Qual & Integration) to establish and lead Release Integration Testing within Release & Feature Qualification for AI Inference Core.

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

You will define the quality strategy across the pre-release and release cycle, from feature and model integration through branch stability, release qualification, deployment, and post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to make release risk visible and actionable.

This is a technical-leadership role, not a coordination-only position. You will design test architecture, lead difficult debugging and release decisions, mentor engineers, and write software and automation alongside the team.

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. Release Integration Testing owns inference-core integration strategy, inference-path readiness approval, integrated cross-stack validation, and first-pass rollout triage.

What Makes This Role Distinct

Dedicated Release Integration Testing ownership: Engage before feature qualification completes while keeping the boundary clear: feature teams own feature behavior and qualification; Release Integration Testing owns integration strategy, readiness approval, integrated validation, and first-pass rollout triage.
Inference-path readiness gate: Require evidence across unit, simulation, benchmark, feature, and integration testing, with explicit coverage gaps before release entry.
Cross-stack test strategy: Define risk-based E2E and regression coverage for features spanning components, organizations, software layers, infrastructure, and hardware.
Branch and rollout leadership: Establish measurable health standards for master and release branches, and coordinate inference-impacting rollout across multiple product and release projects.
Hands-on technical authority: Lead through code, test architecture, difficult debugging, quality metrics, and evidence-based release decisions.
Team multiplier: Raise the technical bar, mentor engineers, and align feature, infrastructure, integration, qualification, and release teams.

What You Will Do

Define the Release Integration Testing strategy, engagement criteria, ownership boundaries, entry and exit criteria, coverage expectations, and escalation thresholds for AI Inference Core.
Engage early on high-risk inference changes; identify dependencies and interaction risks across runtime, host, device programming, memory, scheduling, model execution, infrastructure, and hardware.
Own the inference-path readiness gate by reviewing unit, simulation, benchmark, feature-test, and integration evidence, documenting gaps, and approving integration readiness before release entry.
Lead integrated inference E2E validation across features and the cloud-to-wafer stack; promote durable feature tests and add risk-based scenarios to release regression.
Improve master and release-branch stability through actionable health metrics, failure classification, release-quality reporting, dashboards, qualification workflows, and release pipelines.
Lead first-pass regression and rollout triage, coordinate owners through resolution, drive RCA, place missing coverage at the correct layer, and plan rollout across multiple product and release projects.
Partner with and mentor SDETs, feature teams, Integration, Core Infra, release owners, and deployment teams; between active engagements, advance automation efficiency, diagnostics, probes, and roadmap test planning.

Minimum Skills & Qualifications

Strong software-engineering fundamentals and programming ability in Python Go, or a similar language.
Demonstrated technical leadership in software quality, test infrastructure, systems validation, release engineering, or complex software integration.
Experience designing automation and test architecture for distributed, systems-level, infrastructure, or AI software.
Proven ability to break down ambiguous cross-stack failures, form hypotheses, gather evidence, and drive issues to resolution.
Strong understanding of risk-based testing, release readiness, regression strategy, failure analysis, and quality metrics.
Ability to influence and align multiple engineering teams without relying solely on organizational authority.
Clear communication and sound judgment during high-pressure release situations, including the ability to explain technical risk to engineering and leadership audiences.

Preferred Skills

Experience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems.
Experience with AI infrastructure, model deployment, LLMs, multimodal workloads, or large-scale compute clusters.
Experience building test frameworks, distributed test systems, release pipelines, dashboards, or internal developer tooling.
Experience with performance testing, profiling, observability, fault injection, reliability, or production failure analysis.
Experience managing geographically distributed teams across multiple regions and time zones is preferred
Experience in a startup or similarly fast-moving, resource-constrained engineering environment.
Track record of taking a quality or release capability from zero to one and scaling it across teams.
Familiarity with containers, cluster orchestration, cloud infrastructure, CI/CD, or high-performance computing.

What Success Looks Like

Release readiness is based on explicit criteria and high-signal evidence rather than intuition.
Fewer inference-path integration defects are first discovered in final release qualification or production.
Cross-component risks are found earlier, debug cycles are shorter, and coverage ownership is explicit.
Master and release-branch health is measurable, actionable, and steadily improving.
Test automation and release infrastructure shorten feedback loops without sacrificing signal quality.
Release metrics and reports drive clear decisions, ownership, and predictable feature rollout.
Engineers across the organization are more effective because Release Integration Testing provides strong technical direction, tooling, and mentorship.

Location

This role 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

Lead Release Integration Testing for AI Inference Core, defining cross-stack test strategy, readiness criteria, and evidence-based release decisions. Guide integrated validation, branch health, regression and rollout triage, root-cause analysis, automation improvements, and collaboration and mentorship across engineering teams.

Requirements

Requires strong software engineering and programming ability in Python, Go, or a similar language, along with technical leadership in quality, test infrastructure, systems validation, release engineering, or complex integration. Candidates should have experience designing automation and test architecture, diagnosing cross-stack failures, applying risk-based testing and release-readiness practices, and influencing multiple engineering teams.

Skills

Python
Go
Software Engineering
Technical Leadership
Release Integration Testing
Test Architecture
Test Automation
Distributed Systems
Systems Validation
Risk-Based Testing
Release Readiness
Regression Testing
Failure Analysis
AI Infrastructure
Performance Testing
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

AI Inference Core
Release Integration Testing
Release Qualification
Inference Path Readiness
Python
Go
Distributed Systems
Systems Validation
Test Architecture
Test Automation
Risk-Based Testing
Regression Testing
Root-Cause Analysis
Master Branch Stability
Release Branches
AI Frameworks
Runtime
Compiler
Kernels
Hardware Accelerators
Model Deployment
Large Language Models
Performance Testing
Observability
Fault Injection
Containers
Cluster Orchestration
Cloud Infrastructure
CI/CD
High-Performance Computing

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