Jobs in Canada

Group jobs by employerSave search & get alerts

Added 1 month ago
2027 Intern Program, Technology Innovation - Future Opportunities
Bell
Montreal, QC
You are aligned with working in-person at a Toronto based Bell office location a minimum of 3 days per week · For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
E
Software Designer
EXFO
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Contribute to defining testing strategies, analyzing requirements and designing test automation frameworks;
Added 1 month ago
C
ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Build automation frameworks and internal tooling that improve system validation and debugging workflows.
Added 1 month ago
C
Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion).
Added 1 month ago
C
Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Experience building automation tools, testing frameworks, or internal developer tooling.
Added 1 month ago
C
Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Strong automation and coding skills with Python or Go, along with Terraform or similar IaC technologies.
Added 1 month ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
Expert-level Python programming skills with extensive experience designing custom test automation frameworks, diagnostic tooling, and CI/CD integration.
Added 1 month ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- $130,000 to $180,000 CAD / year
- Full-time
…priorities will focus on Investment Management and Distribution, with expansion across all business functions over…
Added 1 month ago
Advanced Analytics and AI Lead
EY
Toronto, ON
At EY, we’re all in to shape your future with confidence.
Added 1 month ago
T
Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
…be responsible for designing and implementing complex test automation frameworks, driving quality across the software development lifecycle, and elevating the engineering team’s overall…
Added 1 month ago
P
Senior Python Automation Developer (Microsoft Dynamics 365 & Dataverse)
PLATO
Ottawa, ON · Calgary, AB · Sault Ste. Marie, ON · Vancouver, BC · Prince Albert, SK · Regina, SK · Gatineau, QC · BC · Winnipeg, MB · Fredericton, NB · Toronto, ON · Halifax, NS
- Full-time
We are seeking an experienced Senior Python Automation Developer to design, build, and enhance scalable test automation solutions for Microsoft Dynamics 365 (D365) and Dataverse…
Added 1 month ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
Experience with automated testing frameworks (Python-based testing libraries such as pytest, unittest, or similar).
Added 1 month ago
Staff DevOps Developer
Visier Solutions Inc
Vancouver, BC
Production Python & Integration Layer: Write tested, maintainable Python application code, build resilient API integrations with core source systems (Salesforce, ServiceNow, Gong,…
Added 1 month ago
FN
QA Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Practical experience with test automation and delivery tooling such as Playwright, Cypress, Selenium, Postman, Python, .NET test frameworks, SQL, Git based workflows, CI/CD, defect…
Added 1 month ago
A
AI Computer Vision Engineer
AssistIQ
Remote, Canada
- Full-time
- Remote
We would expect you to be knowledgeable, articulate, sensible, able to coordinate with other peers and senior executives, and collaborate and deliver results in a fast-paced environment…
Added 1 month ago
PO
Senior Software Developer
P&P Optica
Waterloo, ON
- $110,000 to $115,000 CAD / year
- Full-time
PPO is looking for a Senior Software Developer to design and implement high-quality software across our product ecosystem. This is a broad, high-impact engineering role: you'll spend most…
Added 1 month ago
F
Senior QA Developer (Agent Security)
Fortinet
Burnaby, BC
- Full-time
Strong API-level testing (Postman or scripting) and solid test automation / scripting skills (Python or equivalent).
Added 1 month ago
E
QA Analyst
EXFO
Montreal, QC
- Full-time
Solides compétences en programmation ou en script avec Java, JavaScript/TypeScript, Python, Go ou des langages comparables.
Added 1 month ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Strong Python proficiency and practical experience using Python-based tooling for data engineering, automation, platform development, or AI engineering workflows.
Added 1 month ago
EA
AI/ML Data Engineer
Electronic Arts (EA)
Vancouver, BC
- Temporary
…character pipeline stack. You will write clean, production-quality Python code, using USD schemas to connect training environments with digital content creation software such as Autodesk…
Added 1 month ago
FN
AI Quality and Evaluation Lead
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Strong analytical and technical skills with Python, SQL, test automation, data analysis, statistical methods, and evaluation tooling such as MLflow, Ragas, DeepEval, or comparable…
Added 1 month ago
Technology and AI Manager
Connex Telecommunications Inc.
Hamilton, ON
…work and identify opportunities to responsibly apply AI and automation across DIT's technology operations, internal processes, and client…
Added 1 month ago
TC
Sr. Production Support Analyst
Tata Consultancy Services
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
Develop and maintain automation scripts using Shell scripting and Python.
Added 1 month ago
I
Software Developer Specialist - Security Product
Intact
Toronto, ON
- Full-time
…how secure software is developed and deployed. You will craft automation platforms, intelligent services, and self‑service experiences that embed security into modern engineering workflows…
Added 1 month ago
Technology Lead - CAN
Infosys
Canada
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…

Cerebras

Senior SDET, Inference Platform

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Posting language: English
Posted: Sep 23, 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 Inference Platform SDET to join the Inference Service Quality team at Cerebras and work on the inference platform. This team sits at the intersection of distributed systems, cloud and cluster infrastructure, and the software stack that serves the world's fastest AI inference.

In this role, you will own the quality and reliability of the infrastructure that deploys and runs the Cerebras Inference Platform - from CI/CD pipelines and Kubernetes-based deployments to ingress, load balancing, and service discovery. You will validate the platform both in cloud environments and on real Cerebras clusters, working side by side with the Inference Platform development team to catch issues before our customers do.

This is an excellent opportunity for engineers who enjoy infrastructure, automation, and debugging across the full deployment stack, and who want to ensure that a platform serving inference at massive scale stays fast, reliable, and production-ready.

Responsibilities

Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.
Validate the platform across environments - from cloud-managed Kubernetes to deployments running on Cerebras hardware.
Test and verify deployment infrastructure including Kubernetes workloads, CI/CD pipelines, ingress and service discovery, NGINX, and load balancing.
Collaborate closely with the Inference Platform development team to ensure new features and platform capabilities ship reliably.
Investigate and debug complex issues spanning networking, orchestration, deployment, and distributed services.
Develop and maintain testbeds used to validate platform performance, scalability, and reliability.
Identify failure points, bottlenecks, and edge cases that impact platform stability and inference performance.
Contribute to test plans and validation strategies for new platform features and releases.
Improve observability, diagnostics, and debugging workflows across the inference platform stack.
Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.

Minimum Skills & Qualifications

3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Strong programming skills in Python and/or Go (experience with both is a plus).
Experience building automation tools, testing frameworks, or internal developer tooling.
Hands-on experience with CI/CD systems (e.g., Jenkins)
Experience debugging complex systems, distributed services, or networked infrastructure.
Familiarity with systems-level development, infrastructure tooling, or platform integration.
Strong problem-solving skills and the ability to investigate issues across multiple system and infrastructure layers.
Excellent communication and collaboration skills.
Experience mentoring junior engineers

Preferred Skills

Hands-on experience with Kubernetes and container orchestration in a real production or staging environment.
Experience with cloud-managed Kubernetes such as Amazon EKS.
Experience with GitOps/deployment tooling (e.g., ArgoCD).
Familiarity with ingress controllers, service discovery, NGINX, and load balancing.
Experience with build systems such as Bazel.
Experience with cluster tooling and operations (e.g., k9s).
Exposure to performance debugging, profiling, or system observability tools.
Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads

Location: Toronto / Sunnyvale

Team: Inference Service Quality

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Apply on LinkedIn About employer

More about this job

Responsibilities

Build and maintain automated test infrastructure to validate the Inference Platform across cloud-managed Kubernetes environments and Cerebras hardware, including deployments, CI/CD, networking, ingress, and load balancing. Investigate cross-stack issues, maintain testbeds for performance and reliability validation, improve observability and debugging, and collaborate with development teams to deliver production-ready releases.

Requirements

Candidates need at least three years of experience in software engineering, quality engineering, systems engineering, or infrastructure development, along with strong Python and/or Go skills and experience building automation or testing tools. They should be able to debug distributed systems and networked infrastructure, work with CI/CD systems, and communicate and collaborate effectively; Kubernetes, EKS, GitOps, and inference infrastructure experience are preferred.

Skills

Python
Go
Test Automation
Testing Frameworks
CI/CD
Kubernetes
Amazon EKS
ArgoCD
NGINX
Ingress Controllers
Service Discovery
Load Balancing
Distributed Systems Debugging
Bazel
Cluster Operations
Performance Debugging

Visa sponsorship

Not detected in the job text

Keywords

Inference Platform
Test Infrastructure
Test Automation
Python
Go
CI/CD
Jenkins
Kubernetes
Amazon EKS
ArgoCD
GitOps
NGINX
Ingress Controllers
Service Discovery
Load Balancing
Distributed Systems
Cloud Infrastructure
Cluster Infrastructure
Cerebras Hardware
Bazel
k9s
Performance Testing
Scalability
Reliability
Observability
Model Serving
ML Inference
GPU-Accelerated Workloads
Networking

Report this job

Work requirements

Jobs in Canada