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Added 19 days ago
HB
DevOps Engineer
Haventree Bank
AB · Toronto, ON · Calgary, AB
- Full-time
Develop and support infrastructure automation solutions using Terraform, PowerShell, Bash, and Python.
Added 19 days ago
OR
Senior Systems Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Extensive experience with scripting and automation using PowerShell, Bash, and/or Python to improve reliability, reduce manual effort, and enforce standards.
Added 19 days ago
Data Engineer – Informatica IDMC & ETL Development
Capco
Toronto, ON
Experience with Python, scripting or automation to support data engineering and pipeline orchestration.
Added 19 days ago
B
Data and Reporting Analyst
BMO
Toronto, ON · BMOPLACE
- Full-time
Demonstrated experience with data mining software/language such as SAS/SQL/Python is a definite asset
Added 19 days ago
IF
Senior Analyst, Quantitative Data Science
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…scalable systems and analytics objectives. The team works closely with Front Office investment teams to modernize analytical workflows, enable cloud-native solutions, and accelerate the…
Added 19 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 19 days ago
CI
Senior Consultant, Network Security
Compugen Inc
Canada
- Full-time
Network automation skills are a strong plus, including Ansible, Terraform, Python, or API-driven operations.
Added 19 days ago
Data Analyst Developer – ETL/ELT & Data Pipelines
Vacances Air Canada Vacations / Air Canada Rouge
Mississauga, ON · Montreal, QC
Reporting to the Lead Data Analyst Developer, the Data Analyst Developer primary function is to participate in the analysis, development, integration and automation of various data…
Added 19 days ago
E
Quality Engineer - Banking Mobile (iOS/Android) & Automation Testing
Experis
Toronto, ON
- Contract
We are seeking a results-driven Quality Engineer with extensive experience in mobile and digital banking platforms. The ideal candidate will play a pivotal role in building quality into…
Added 19 days ago
UI
Process and automation specialist
UAP Inc.
Longueuil, QC
- Full-time
The Pricing and Master Data team is seeking a Process and Automation Specialist. In this strategic role, you will be responsible for designing, developing, and maintaining automated…
Added 19 days ago
C
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras
Toronto, ON
- Full-time
This is a highly technical, hands-on engineering role requiring strong software development, automation, and debugging skills. You will independently own complex testing initiatives,…
Added 19 days ago
C
AI Inference Core - Technical Lead Manager, Release Qual & Integration
Cerebras
Toronto, ON
- Full-time
Partner with and mentor SDETs, feature teams, Integration, Core Infra, release owners, and deployment teams; between active engagements, advance automation efficiency, diagnostics, probes,…
Added 19 days ago
P
Lead Data Consultant, Manager
PwC
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 19 days ago
GD
Software Test Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Proficiency with DSpace Automation Desk and Control Desk (including Matlab, Simulink, Python)
Added 19 days ago
SM
IT & Systems Manager (AI-First)
Stichting Mission on Wheels
Calgary, AB
- $90,000 to $115,000 CAD / year
Manage our AI and internal tools developer and the app developers, and coordinate with our contract AI engineer
Added 19 days ago
OR
Senior System Engineer
OSL Retail Services
Mississauga, ON
- $100,000 to $115,000 CAD / year
- Full-time
Extensive experience with scripting and automation using PowerShell, Bash, and/or Python to improve reliability, reduce manual effort, and enforce standards.
Added 19 days ago
VK
Software Engineer
Venue Kings
North Vancouver, BC
- $70,000 to $120,000 CAD / year
- Full-time
Production experience with either Go or Python, plus the ability and interest to work in both languages.
Added 19 days ago
P
Deals Value Creation Analytics Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
Supporting analytics projects to arm management with data driven insights to enable fact-based decision making and drive value within the business
Added 19 days ago
A
Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
Proficiency with Python for scripting and programming in test environments.
Added 19 days ago
E
AV Service Engineer - Control Systems & Device Integration
Evertz
Burlington, ON
- Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…
Added 19 days ago
B
Software Developer - (Automations/ AI /Dev Ops)
BMO
Mississauga, ON · EXPL
- Full-time
-Good design skills and experience with process automation
Added 19 days ago
B
ANALYST, MARKETING ANALYTICS AND PERFORMANCE
BDC
Montreal, QC
- Full-time
Knowledge of BDC's data environment and its data modernization program; marketing automation or CRM platforms; campaign or media cost data; industry classification codes such as NAICS;…
Added 19 days ago
VG
IAM Specialist
Volaris Group
Mississauga, ON · Canada - Mississauga, ON
- Full-time
…access issues, managing user identity lifecycles, and assisting with application integrations, automation, and ongoing Okta…
Added 19 days ago
TI
Cloud Infrastructure Engineer
Tekgence Inc
Halifax, NS
- Contract
We are looking for an experienced Terraform Developer with strong expertise in Azure Cloud, Infrastructure as Code (IaC), and DevOps automation. The ideal candidate will be responsible for…
Added 19 days ago
WT
Senior AWS Cloud Engineer
Wissen Technology
Calgary, AB
- Full-time
A hands-on Senior AWS Cloud Engineer who has experience with building secure AWS Landing zones is required to join client's Cyber Security team. The role requires deep AWS expertise across…

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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