Jobs in Canada

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Added 3 months ago
Software Engineer II
Diligent Corporation
Vancouver, BC
Cloud awareness (AWS preferred) - you get managed services, scalability, and what it means to actually own infrastructure.
Added 6 months ago
M
Full Stack Developer
Monark
Surrey, British Columbia · White Rock, British Columbia
- Full-time
We are looking for a skilled Mobile Application Developer to design, build, and maintain high-quality applications for both iOS and Android platforms. The ideal candidate brings hands-on…
Added 4 months ago
L
Full Stack Engineer (Front End Leaning)
Lutra
Toronto, Ontario
- Full-time
Front-end: React, React Native, NextJS, TypeScript, Tailwind CSS
Added 2 months ago
E
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 2 months ago
Senior Software Engineer, Platform Network (Auth0)
Okta
Toronto, ON
Have 3+ years of software development experience in cloud-native services like API.
Added 4 months ago
[VO2 Canada] - Business Analyst (BA) Junior – Tremplin Salesforce & IA
VO2 Group
Montreal, Quebec
Added 4 months ago
Shopify Practice Director
Valtech
Montreal, Quebec
Must have qualifications
Added 2 months ago
OT
Principal IT Software Developer
Open Text Corporation
Waterloo, ON
- Other
Design for cloud-native, hybrid, and multi-cloud integration models.
Added 4 months ago
TG
Senior Software Developer
TMX Group
Toronto, Ontario
- $120,000 to $130,000 CAD / year
- Full-time
Helping design the blueprints for our applications, focusing on distributed systems, API performance, and cloud-native resilience.
Added 4 months ago
C
Principal Software Developer – Data Architect
Caseware
Toronto, Ontario
- Full-time
Deep experience designing modern data platforms on AWS cloud-native infrastructure, including
Added 4 months ago
C
Principal Software Developer – AI Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – AI Data Architect to drive the technical vision and architectural strategy of Caseware’s AI-Ready Data Platform. This role will define the…
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
This role follows a hybrid schedule, requiring in-office presence 3 days per week
Added 4 months ago
AS
Technical Lead, Full-Stack & AI Platforms (Canada-only)
Aequilibrium Software Inc.
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
Experience designing and building cloud-native applications
Added 2 months ago
CI
Global Marketing Communications Manager
Celestica International LP
Toronto, ON
- $109,000 to $159,000 CAD / year
…develop impactful content in support of our Connectivity and Cloud Solutions Business and growth priorities. This individual will work closely with key stakeholders within the business to…
Added 4 months ago
GE
Data Developer II
Global Excel Management
Windsor, Ontario · Sherbrooke, Quebec
- $35.06 to $46 CAD / hour
- Other
As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data…
Added 5 months ago
Développeuse ou développeur en fiabilité de production / Production Reliability Engineer
Unity Technologies
Montreal, Quebec
…maîtrise de Kubernetes, de l’architecture infonuagique dite « cloud-native », et de l’« infrastructure-as-code »; avoir conçu et exploité une infrastructure de production, qui comprend…
Added 5 months ago
Principal Software Engineer, MADS
Amazon
Toronto, Ontario
…shaping how the advertising industry consumes data in an AI-native world, this is the role for…
Added 2 months ago
GS
SBT Content Software Engineer II
Guidewire Software
Remote, Canada
- Full-time
- Remote
As part of PDO’s shift toward AI-driven development, you will use AI-native coding approaches and AI-assisted tools (such as Claude Code or GitHub Copilot) to build, refactor, and extend…
Added 4 months ago
C
DevOps Developer
Caseware
Toronto, Ontario
- $125,000 to $140,000 CAD / year
- Full-time
You will shape the developer experience for teams shipping TypeScript, Angular, NestJS, Java services, serverless workloads, and AWS cloud infrastructure.
Added 4 months ago
TC
Oracle Application SaaS & PaaS Architect
The Citco Group Limited
Toronto, ON
- Full-time
You must have Oracle Fusion Fast Formulas, BIP/OTBI reporting, HDL/HSDL data loading · Must have Skills
Added 4 months ago
U
Tech Lead, Software Development
Univeris
Toronto, Ontario
- $100,000 to $130,000 CAD / year
- Full-time
…of their team's output and the professional growth of every developer on their team. The following responsibilities apply across all…
Added 4 months ago
C
Senior Application Support Engineer - Assistant Vice President
Citi
Remote, Canada
- Full-time
- Remote
Cloud and Distributed Technology Support Experience Experience in supporting target technology stacks such as ECS, OpenShift, and microservices at L2/L3 level in distributed, cloud-native…
Added 4 months ago
F/
Senior Full Stack Developers
FCC / FAC
Regina, Saskatchewan · Alberta · British Columbia · Newfoundland and Labrador · Saskatchewan · Agriculture Place
- Full-time
In these roles, you’ll design, build, and enhance enterprise applications, APIs, integrations, and cloud-based solutions that support FCC’s internal platforms, lending systems and developer…
Added 4 months ago
U
Engineering Manager, Software Development
Univeris
Toronto, Ontario
- $110,000 to $150,000 CAD / year
- Full-time
Cloud-centric apps: RESTful APIs, microservices, containers, Kubernetes, Terraform, Spring Boot
Added 4 months ago
Développeur·euse logiciel front-end senior // Senior frontend software developer
Plusgrade
Montreal, Quebec
Tu possèdes une expertise approfondie de React et TypeScript, combinée à une solide maîtrise des systèmes de conception et des architectures cloud sur AWS.

Cerebras Systems

Inference ML API SDET

Toronto, ON, Canada

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of relevant industry experience in software integration, development, or quality engineering.
Posting language: English
Posted: Jun 29, 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 Team

The ML API Quality team is responsible for the confidence behind every production release shipped to Cerebras Inference Cloud. We work closely with platform, infrastructure, ML systems, and product engineering teams to ensure that rapid iteration never comes at the expense of customer trust. Our environment spans distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services.

We are scaling quickly. The systems are growing in complexity, traffic is increasing rapidly, and release velocity remains high. We need engineers who can build quality systems that scale with the business.

About The Role

As a Senior Software Engineer in Test for the ML API features team, you will lead testing strategy and execution for AI/ML models, evaluating accuracy, fairness, and performance at scale. You will serve as a key technical leader in delivering and validating all software and hardware components for Cerebras API Features. You will own software components feature integration quality and drive pre-deployment and production validation for Cerebras inference solutions. In this role, you will define and champion best testing practices, establish robust debugging methodologies, and mentor junior engineers while advocating for world-class product quality.

Responsibilities

Architect and own end-to-end test strategies for new features, developing scalable tests, frameworks, and tooling to ensure quality.
Lead contributions to industry-standard benchmarks and drive adoption of rigorous evaluation methodologies.
Define and drive automation initiatives to significantly improve internal engineering efficiency and test coverage.
Make strategic decisions around coverage trade-offs, resource requirements, and risk-based testing priorities.
Serve as a technical anchor in a highly agile environment, adapting quickly to shifting priorities while maintaining quality standards.
Mentor and guide junior SDETs on testing methodology, debugging practices, and automation development.
Proactively identify systemic quality gaps and drive cross-functional initiatives to address them.
Lead and facilitate effective technical communication across teams and time zones.

Skills & Qualifications

5+ years of relevant industry experience in software integration, development, or quality engineering.
Deep expertise in automation and programming using one or more languages such as Python, C++, or Go; ability to design and build reusable test frameworks from the ground up.
Proven experience testing compute, machine learning, networking, or storage systems within large-scale enterprise environments.
Strong track record of debugging complex issues across distributed, scaled-out deployments.
Demonstrated ability to lead cross-functional quality initiatives involving product development, product management, customer operations, and field teams.
Excellent verbal and written communication skills, with experience presenting technical findings to both engineering and leadership audiences.
Strong organizational skills, ownership mindset, and ability to drive projects to completion independently.
Experience leading and mentoring engineers across geographically dispersed teams and time zones.

Preferred Skills & Qualifications

Hands-on experience with ML workloads including LLM and/or multimodal training or inference.
Deep familiarity with hardware architecture, performance optimizations, compilers, and ML frameworks.
Experience designing test strategies for distributed systems, cloud infrastructure, and security validation.
Experience with microservices deployment, debugging, and orchestration at scale.
Prior experience owning or significantly contributing to a team's quality engineering culture or test infrastructure.

Location

This role follows a hybrid schedule, requiring in-office presence 3 days per week. Fully remote is not an option.

Office locations: Sunnyvale, CA | Toronto, Canada

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

Lead the testing strategy and execution for AI/ML models, focusing on accuracy, fairness, and performance at scale for the ML API features team. Architect end-to-end test strategies and drive automation initiatives to improve engineering efficiency and product quality.

Requirements

Requires over 5 years of industry experience in software integration or quality engineering with deep expertise in Python, C++, or Go. Candidates should have a proven track record of testing large-scale compute, ML, or distributed systems in enterprise environments.

Skills

Python
C++
Go
Automation Frameworks
ML Testing
Distributed Systems
API Testing
Debugging
Performance Optimization
LLM Inference
Multimodal Training
Microservices
Cloud Infrastructure
Test Strategy
Mentoring
Cross-functional Leadership

Visa sponsorship

Not detected in the job text

Keywords

Inference
ML API
SDET
Cerebras
AI Chip
LLM
Multimodal
Distributed Systems
Cloud Infrastructure
Python
C++
Go
Microservices
Orchestration
Benchmarks
Evaluation Methodologies
Hardware Architecture
Compilers
ML Frameworks
Security Validation
API Features
Quality Engineering
Automation
Scalability
Performance Optimization

Seniority

Senior

Languages

English

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Work requirements

Jobs in Canada