Jobs in Canada

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Added 1 month ago
Superintendent surveying
Newmont Goldcorp Canada
Dease Lake, BC
You will be responsible for establishing survey standards, governance frameworks, control networks, quality assurance systems, and modern surveying technologies that support one of Canada's…
Added 1 month ago
Lead software engineer
National Money Mart Company
Toronto, ON
Improve CI/CD and engineering quality: GitHub Actions, Jest, performance testing (e.g., k6), static analysis/security scanning (e.g., SonarQube, Veracode).
Added 1 month ago
National Sales Director
lhh
ON
track and report Key Performance Indicators (KPIs) to align quality sales activities with financial objectives.u Foster long-term relationships with prospects, customers and end-users by…
Added 1 month ago
S
Licensed Truck & Trailer Technician – Technician I- Dundas
Staffmax
Dundas, ON
- $42 to $46 CAD / hour
Must hold a valid 310J Red Seal Trailer Technician certification
Added 1 month ago
S
Licensed 310J Trailer Technician / Mobile Yard Mechanic- Woodstock
Staffmax
Woodstock, ON
- $42 to $49 CAD / hour
Valid 310J Red Seal Trailer Technician licence required
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Cybersecurity Metrics and Controls Specialist
Staffmax
Montréal, QC
Partner with Technology Policy teams to ensure control measurement and metric requirements are incorporated into policy design and updates.
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Principal Data Engineer – Databricks
Staffmax
Toronto, ON
Work Arrangement: Onsite / 4 Days in Office
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Quality Assurance Manager
Staffmax
Winnipeg, MB
Staffmax is excited to partner with a well-established Winnipeg organization to find an experienced Quality Assurance Manager. This is a confidential search. If you're a hands-on quality…
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Test Development Team Lead
Procom
Calgary, AB
…The role blends technical leadership, software development, quality engineering, and AI innovation, with a focus on building the next generation of AI-assisted test…
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AW
Geotechnical Engineer
Agilus Work Solutions
Vancouver, BC
- $93,000 to $120,000 CAD / year
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.Agilus by…
Added 1 month ago
AW
Geotechnical Engineer
Agilus Work Solutions
Vancouver, BC
- $93,000 to $120,000 CAD / year
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.Agilus by…
Added 1 month ago
AW
Mechanical Engineering Lead
Agilus Work Solutions
Vancouver, BC
- $130,000 to $185,000 CAD / year
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.Agilus by…
Added 1 month ago
AW
Senior Controls & Automation Engineer
Agilus Work Solutions
Calgary, AB
- $110,000 to $160,000 CAD / year
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.Agilus by…
Added 1 month ago
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Lead, AI Engineering
Hays
NS
- $150,000 to $175,000 CAD / year
· Partner with business stakeholders to identify AI adoption opportunities, define roadmaps, and prioritize initiatives with measurable business outcomes.
Added 1 month ago
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Programmatic & Social Media Buyer
Loblaws Inc.
Toronto, ON · Montréal, QC
- $35 to $48 CAD / hour
…campaigns across multiple media channels. This role serves as a key partner to Media Planning/strategy teams to ensure successful campaign delivery, operational excellence, and client…
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AW
Senior Hydrotechnical Engineer
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Montréal, QC
- $125,000 to $150,000 CAD / year
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.Agilus by…
Added 1 month ago
AW
Senior CAD Designer - Structural
Agilus Work Solutions
Mississauga, ON
- $75,000 to $125,000 CAD / year
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Added 1 month ago
AW
Senior Structural Engineer
Agilus Work Solutions
Saskatoon, SK
- $95,000 to $135,000 CAD / year
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.
Added 1 month ago
AW
Senior / Intermediate Civil Engineer
Agilus Work Solutions
Vancouver, BC
- $145,000 to $185,000 CAD / year
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.Agilus by…
Added 1 month ago
Senior / Intermdiate Civil Engineer
Agilus Work Solutions
Calgary, AB
Agilus is proud to partner with Hatch, one of Canada's Top 100 Employers and a leading engineering firm supporting major projects across infrastructure, energy, and mining.Agilus by…
Added 1 month ago
AW
Senior / Intermediate Civil Engineer
Agilus Work Solutions
Mississauga, ON
- $145,000 to $185,000 CAD / year
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Added 1 month ago
Vice President. Sales and Marketing
Goldbeck Recruiting
Kelowna, BC
border, including exposure to trade policy and tariff dynamics affecting cross-border sales
Added 1 month ago
Operations Manager
Goldbeck Recruiting
Mississauga, ON
Partner with planning, procurement, supply chain, and customer service teams to improve forecasting, material availability, inventory, supplier performance, and fulfillment.
Added 1 month ago
Associate Field Engineer - Quebec City
UL Solutions
Québec, QC
…products continue to comply with UL Solutions' requirements and partner with customers to help them meet their changing…
Added 1 month ago
Key Account Coordinator
Mint Green Group Inc.
Canada
…culture, and forward thinkers who demand excellence in the quality of the product and the authenticity of the…

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.

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

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