Software development jobs in Canada

Explore software development jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 4,121
Employers: 1,522

Advertised starting pay

Average starting payCAD / year: $116,391Across 454 listings
Average starting payUSD / year: $140,490Across 117 listings
Average starting payCAD / hour: $55.55Across 70 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 10%410 listings
Hybrid: 40%1,658 listings
On-site: 49%2,013 listings

Not specified: 1% (40 listings)

Employers hiring include Amazon (114), Genetec (64), RBC (59).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Canada

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Added 2 months ago
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO Canada
Toronto, Ontario
Full-time
Added 2 months ago
Business Systems Architect
SS&C Technologies
Toronto, Ontario
Full-time
Added 2 months ago
Frontend Developer
Highspring
Montreal, Quebec
Full-time
Added 2 months ago
Senior Fullstack Developer (PHP)
Qu Data Centres
Calgary, Alberta
$110,000 to $130,000 CAD / year
Full-time
Added 4 months ago
Software Engineer, Product / Mobile
Bree
Toronto, Ontario
Full-time
Added 1 month ago
Software Developer - DevOps
DRW
Montreal, QC
Added 1 month ago
Software Engineer
Fellow Insights Inc.
Remote, Canada
Full-time · Remote
Added 1 month ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
Added 2 months ago
Software Engineer, Product (Fullstack)
Badge
Vancouver, BC
Full-time
Added 1 month ago
Software Asset Management Specialist, Commercial Applications
WSP
Montreal, QC
Join WSP as a Software Asset Management Specialist, Commerc
Added 20 days ago
Angular or React Full Stack Developer - onsite Mississauga CA
Capgemini
Mississauga, ON
Added 1 month ago
Software Engineer
Hexagon
Calgary, AB
Full-time
Hexagon's Autonomous Solutions business area is seeking an entry to intermediate level Software Engineer for the Algorithms (ALGO) group in developing market-leading GNSS solutions. You…
Added 1 month ago
Java Full Stack Developer - React JS - Assistant Vice President
Citi
Mississauga, ON
Full-time
Added 2 months ago
Software Engineer 4 - LLM Inference
Nutanix
Vancouver, British Columbia
$148,000 to $222,000 CAD / year
Full-time
…AI-ready capabilities out of the box ("GPT-in-a-Box") through a…
Added 2 months ago
Senior Fullstack Developer (PHP)
Qu Data Centres
Halifax, Nova Scotia
$110,000 to $130,000 CAD / year
Full-time
Added 2 months ago
Enterprise / Application Architect (hybrid in St John's, Newfoundland)
Ateko, backed by Bell Canada
St. John's, Newfoundland and Labrador
Contract
Added 2 months ago
Senior Software Engineer
7shifts
Toronto, Ontario
Full-time
As a Senior Software Developer at 7shifts, you’ll join our Gr
Added 2 months ago
Software Developer III
CATALIS
Edmonton, Alberta
Full-time
Catalis is a leading government Software as a Service (SaaS) and integrated payments provider, powering a wide range of government operations at the municipal, county, state, and federal…
Added 2 months ago
Staff Software Engineer
Purpose Unlimited
Canada
Full-time
Added 4 months ago
Java Software Engineer
Synechron
Calgary, Alberta
$100,000 to $110,000 CAD / year
Full-time
…Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research…
Added 1 month ago
Software Architect, Platform Services
Petal
Remote, Canada
Full-time · Remote
Added 28 days ago
Sr. Software Engineer (Hardware)
Dialpad
Vancouver, BC
Added 1 month ago
Senior Full-Stack Software Engineer
STAN AI
Toronto, ON
$120,000 to $180,000 USD / year
Full-time
<p>STAN is looking for a full-time Senior Software Engineer who is an enthusiastic problem solver to help create the technology that will change the way we manage residential communities.…
Added 1 month ago
Java Full stack Developer
Capgemini
Toronto, ON
Added 1 month ago
Software Architect
Engage People
Markham, ON
Full-time
The Software Architect applies specialized knowledge to conceptualize, design, develop, configure, and implement business and technical software solutions. The Software Architect interacts…

Cerebras

Senior Software Development Engineer in Test (SDET) - AI Cluster

Toronto, ON, Canada

Job type: Full-time
Experience: 5+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software.
Posting language: English
Posted: Jul 15, 2026

Apply About employer

Applications open in a new tab.

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.

In AI infrastructure organization, simplifying large hardware deployments with push button, single pane of glass for observability/monitoring and software capabilities for build-in resiliency are some of the key focus areas. As senior software development engineer in Test, we are looking for a candidate who can make a big impact on how we test and validate thousands of nodes in large deployments to ensure the cluster is 99.999% reliable.

Responsibilities

You will be hired to innovate and execute tests on cutting edge AI infrastructure. Be a thinker, define optimized test strategies and methodologies.
Cerebras is growing and innovating at a rapid pace and so is the ML community and AI models. Be a quick learner, adapt to new technologies, and bring your expertise. We are looking to hire a team with a diverse skill set.
Deep understanding of how large-scale distributed ML training and inference works. Build a strong understanding of how to break these large distributed systems challenge into smaller components that can be unit tested.
Automate first approach - In large scale deployment, automation drives efficiency and scalability. Aim for 100% automated tests to test all cluster features in areas of high availability, failure scenarios, performance, stress and security.
Champion cluster security, reliability for uptime of 99.9999% and ease of use with observability.
Test all components of AI cluster including but not limited to cluster software involving kubernetes, prometheus and grafana. Cluster hardware components like ML wafer scale accelerators, CPU runtime nodes, High speed swarmx interconnect, High speed data transfer of weights through memoryx interconnect.

Qualifications

Bachelor's or master's degree in engineering in computer science, electrical, AI, data science or related field.
5+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software.
Strong coding skills in one of the programming languages like python, golang and C/C++.
Strong debugging skills to debug issues in large distributed systems, hardware, and software. Experience with debugging tools like pdb, gdb, strace and network monitors.
Strong understanding of operating systems internals like memory management, file system working, security and performance.
Strong understanding of datacenter layout, device performance characteristics like Servers, Memory, BIOS, PCIe, networking and storage.
Experience with cloud technologies like AWS, kubernetes and dockers. Monitoring tools like grafana, prometheus is huge plus.
Understanding and experience of ML model training and inference is a huge plus.
Understand of ML hardware accelerators like GPU, custom accelerator ASIC is a huge plus.

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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Apply About employer

More about this job

Responsibilities

You will innovate and execute tests on cutting-edge AI infrastructure, defining optimized test strategies and methodologies. The role involves ensuring the reliability of large deployments and championing cluster security and performance.

Requirements

Candidates should have a bachelor's or master's degree in a relevant field and at least 5 years of experience in testing enterprise software or distributed systems. Strong coding and debugging skills, along with experience in cloud technologies and machine learning, are essential.

Skills

Software Testing
Distributed Systems
Automation
Debugging
Cloud Technologies
Kubernetes
Grafana
Prometheus
Machine Learning
AI Infrastructure
Programming
Python
Golang
C/C++
Data Center
Security

Visa sponsorship

Not detected in the job text

Keywords

AI
Chip
Inference
Training
Distributed Systems
Automation
Kubernetes
Prometheus
Grafana
Machine Learning
Debugging
Cloud Technologies
AWS
Data Center
Security
Performance
Software Testing
Cerebras Systems

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