Jobs in Canada

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Added 1 month ago
Senior Mixed-Signal Designer - Acacia (Hybrid)
Cisco Systems Canada Co.
Kanata, ON
This is a hybrid role that can be performed three days per week from our Ottawa office
Added 1 month ago
Senior data scientist
National Money Mart Company
Toronto, ON
Reporting directly to the Senior Director of Data Science, the Senior Data Scientist will be a strategic partner to the business, combining strong business acumen with expertise in advanced…
Added 1 month ago
Senior Project Manager - Heavy Civil Construction
Construction Demathieu & Bard (CDB) inc.
Toronto, ON
Reporting to the Vice President of Ontario, as the Senior Project Manager you will provide leadership to a team of project managers, engineers, project coordinators and site superintendents…
Added 1 month ago
SH
Senior Security Analyst - Cyber Security - Regular Full-Time - 2026-17134
Sunnybrook Health Sciences Centre
Toronto, ON
- Full-time
Reporting to the Manager, Information Security, the Senior Cybersecurity Analyst is responsible for information technology risk assessments, defining security architecture principles, and…
Added 1 month ago
Senior Methods Agent - Mechanical Systems (Production Support)
SOGECLAIR
Calgary, AB
Translate engineering data into clear, practical assembly methods adapted to production realities.
Added 1 month ago
Ingénieur(e) senior - systèmes avioniques
SOGECLAIR
Montréal, QC · Toronto, ON
…EICAS, HUD, SVS), Information/Maintenance & Recording (IMS, OMS, Data load, CVR, FDR, AHMS), etc. on the…
Added 1 month ago
AVP/VP, Technical Due Diligence Advisor - Infrastructure Transactions
Steer
Toronto, ON
…Technical Due Diligence (TDD) Practice in North America. This senior role blends deep engineering and operational expertise with strategic advisory capabilities, supporting investors,…
Added 1 month ago
RCCA Lead
Sapsol Technologies Inc
Montréal, QC
Lead structured root cause analysis of delivery performance drivers using existing data sources and cross-functional working sessions
Added 1 month ago
Data Analyst
Sapsol Technologies Inc
Longueuil, QC
Bachelor’s degree in data science, Engineering, Computer Science, Supply Chain or a related field
Added 1 month ago
Senior Data Engineer
Rockstar
Toronto, ON
A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving the core data platform, which includes data pipelines, machine learning models, and various…
Added 1 month ago
Senior Software Engineer (Full-Stack)
Prophix
Etobicoke, ON
As a Senior Full-Stack Engineer on the FP&A Plus platform, you will design, build, and maintain the modular .NET capabilities that more than 2,500 finance teams around the world rely on…
Added 1 month ago
Ingénieur·e senior en implantation | Senior Implementation Engineer
Power Factors
Brossard, QC
Added 1 month ago
Mid-Senior IT Professional (Multiple Opportunities)
Hire Resolve.com
Winnipeg, MB · Mississauga, ON · Brampton, ON · Hamilton, ON
…management, systems administration, enterprise applications, data platforms, DevOps, and technical project…
Added 1 month ago
Mid-Senior IT Professional (Multiple Opportunities)
Hire Resolve.com
Toronto, ON · Montréal, QC · Vancouver, BC · Calgary, AB · Edmonton, AB · Ottawa, ON
…management, systems administration, enterprise applications, data platforms, DevOps, and technical project…
Added 1 month ago
Survey Party Chief
DOF
Paradise, NL
Must have a full understanding of the flow of data from the calibration at the project mobilization, through the logging and quality control of all data
Added 1 month ago
Survey Party Chief
DOF
Halifax, NS
Must have a full understanding of the flow of data from the calibration at the project mobilization, through the logging and quality control of all data
Added 1 month ago
Senior Surveyor
DOF
Paradise, NL
DOF Canada is currently seeking a detailed oriented and client focused individual for the position of Senior Surveyor. A key to success for this position is the ability to collaborate with…
Added 1 month ago
Senior Surveyor
DOF
Halifax, NS
DOF Canada is currently seeking a detailed oriented and client focused individual for the position of Senior Surveyor. A key to success for this position is the ability to collaborate with…
Added 1 month ago
AW
Solution Architect
Aviso Wealth
Toronto, ON
- $150,000 to $168,000 CAD / year
Degree in Business Administration, Computer Science, Engineering, Information Technology or a related field, or equivalent experience is required.
Added 1 month ago
AW
Senior Product Manager
Aviso Wealth
Toronto, ON · Vancouver, BC
- $120,000 to $135,000 CAD / year
We are looking to fill an opening for a Senior Product Manager to join Aviso’s Product Management team and help shape the future of investing for Canadians through a best-in-class wealth…
Added 1 month ago
Principal Analyst, Power Markets – Long-Term Forecasting - 26150DD
Enverus
Calgary, AB
Cross-functional collaboration. Partner with product, data science, and engineering to integrate models into the Enverus Prism™ platform and improve workflow efficiency for clients.
Added 1 month ago
Corporate Account Manager
Buckman
QC
Establish strategic relationships with senior leaders across assigned corporate accounts.
Added 1 month ago
Directeur général opérations – exploitation technique / General Manager - Client Technical Services
Ainsworth
Montréal, QC
Added 1 month ago
Well Testing Operators - 1 to 5 Years Experience
Roska DBO
Grande Prairie, AB
Monitor equipment controls and instrumentation; accurately record, verify, and communicate test data for engineering and client use
Added 1 month ago
Data Engineer (AWS / Snowflake / DBT / Airflow / Informatica IICS)
act digital
Toronto, ON
Experience: Minimum 4+ years in Data Engineering (mid-level) or 7+ years (senior).

Cerebras Systems

Senior SDET, Inference Platform

Toronto, ON, Canada

Apply on jobs.ashbyhq.com About employer

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Job details

Experience: 3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Posting language: English
Posted: Jul 13, 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

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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Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Senior SDET at Cerebras Systems will build test infrastructure and automation that deploys and validates the inference platform. They will test Kubernetes workloads, CI/CD pipelines, ingress, load balancing and service discovery, and debug issues across the stack.

Requirements

Cerebras Systems needs candidates with 3+ years of software, QA, systems or infrastructure experience. They must write strong Python and/or Go, build test automation, work with CI/CD such as Jenkins, and debug distributed systems.

Skills

Python
Go
Kubernetes
Jenkins
CI/CD
test automation
test framework development
distributed systems debugging
ArgoCD
GitOps
NGINX
load balancing
ingress controllers
service discovery
Bazel
k9s
Amazon EKS
observability
performance profiling
ML inference infrastructure
model serving
GPU-accelerated workloads
test plan development
mentoring
cross-functional collaboration

Keywords

SDET
QA automation
Inference Platform
Python
Go
Kubernetes
CI/CD
Jenkins
ArgoCD
GitOps
NGINX
load balancing
ingress
service discovery
Bazel
k9s
Amazon EKS
GPU
model serving

Seniority

senior

Department

software_development

Tools

Kubernetes
Jenkins
ArgoCD
NGINX
Bazel
k9s
Amazon EKS

Languages

English

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Work requirements

Jobs in Canada