Software development jobs in Canada

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

Counted Sep 21, 2026

Hiring at a glance

View jobs

Open jobs: 4,101
Employers: 1,528

Advertised starting pay

Average starting payCAD / year: $116,403Across 445 listings
Average starting payUSD / year: $139,398Across 121 listings
Average starting payCAD / hour: $55.65Across 70 listings

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

Where work happens

Remote: 10%411 listings
Hybrid: 40%1,637 listings
On-site: 49%2,012 listings

Not specified: 1% (41 listings)

Employers hiring include Amazon (117), Genetec (63), RBC (60).

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 18 days ago
Senior Software Engineer – IBM Sterling File Gateway (SFG)
Net2Source (N2S)
Toronto, ON · Scarborough, ON
$48 to $50 CAD / hour
Contract
Role: Senior Software Engineer – IBM Sterling File Gateway (SFG)
Added 18 days ago
Software Developer
AppDirect
Montreal, QC
Full-time
Added 13 days ago
Android Software Developer – Infotainment OnStar
General Motors
Markham, ON
Full-time
Added 13 days ago
Software Developer Intern, MyGeotab (Winter/January 2027, 8 Months)
Internship List
Oakville, ON · Toronto, ON · Waterloo, ON
Added 13 days ago
Velocity - Software Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Velocity - Software Engineer Internship/Co-Op – Winter 2027
Added 13 days ago
Software Engineer
Providius
Hamilton, ON
Full-time
We’re looking for a software engineer to join our development team. You’ll wor
Added 13 days ago
Software Developer I - 4 Month Co-op/Internship (Winter 2027)
Intact FC
Toronto, ON
Full-time
Added 18 days ago
Software Engineer
Fleet Space Technologies
Toronto, ON
Full-time
Fleet Space builds software for customers and internal teams working with geophysical surveys, geological data, interactive 3D visualisation and machine learning predictions. Our platform…
Added 18 days ago
Cloud Architect
HISH IT SERVICES
Toronto, ON
$75 CAD / hour
Contract
Added 18 days ago
Senior Backend Engineer
Assembler AI
Montreal, QC
Full-time
Added 18 days ago
Senior Full Stack Software Developer
Assembler AI
Montreal, QC
Full-time
Added 13 days ago
Velocity - Cloud Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Added 10 days ago
Senior Software Developer
Bell
Montreal, QC
Added 13 days ago
Distributed Software Engineer
Cerebras Systems
Remote, Canada
Full-time · Remote
Added 13 days ago
Senior Software Developer - Offensive AI (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Added 14 days ago
Senior Software Developer - Offensive AI (Global Security)
RBC
Toronto, ON
Full-time
Added 14 days ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
…competitive market sound exciting to you? If so, this Senior Software Engineer role with the Microsoft Turing team may be a great fit for…
Added 19 days ago
Associate Software Engineer (Winter 2027)
AltaML
Calgary, AB
Full-time
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.
Added 19 days ago
Associate Software Engineer (Winter 2027)
AltaML
Edmonton, AB
Full-time
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.
Added 18 days ago
Software Engineer, Professional Senior (Android + NFC/RFID +AI )
Zebra Technologies
Mississauga, ON
Full-time
Added 19 days ago
Senior Software Engineer - Cloud Platform & Data Architecture
USA Tech Recruit
Toronto, ON
Full-time
We are looking for a Senior Software Engineer: Cloud Platform & Data Architecture to architect and build the foundational cloud services powering this next-generation plat
Added 19 days ago
Senior Software Engineer - Full-Stack & Frontend
USA Tech Recruit
Toronto, ON
Full-time
…equipment to cloud and enterprise systems. Its hardware and software products support applications including remote monitoring, asset tracking, predictive maintenance, and industrial…
Added 19 days ago
Software QA Test Technician I
Radiant Systems Solutions, Inc
QC · Saint-Laurent-de-l'Île-d'Orléans, QC
$20 to $22 CAD / hour
Contract
We are seeking a Software QA Test Technician I to join the Engineering team supporting a growing Machine Vision and Imaging business.
Added 14 days ago
Senior Site Reliability Engineer - Batch Management
SimCorp
Toronto, ON
Full-time
At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development,
Added 14 days ago
Intern - Software Developer - 8 months Hybrid in Ottawa
Entrust
Ottawa, ON · Canada - Ottawa
Full-time

Cerebras Systems

Distributed Software Engineer

Remote, Canada

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 8, 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.

The Role

The Cluster engineering team owns the software that turns thousands of wafers, servers, and switches into a cloud that stays up, stays busy, and stays debuggable. We stand clusters up from bare metal, schedule training and inference workloads across the fleet, keep it healthy, and make it observable to users, operators, and increasingly to AI agents. The stack is Go and Python on Kubernetes, running both on-premise deployments and our own cloud.

Responsibilities

· Declarative, CRD-driven automation of bare-metal networking, OS, and application software across clusters of Cerebras systems, servers, and switches, built to reconcile thousands of nodes

· Push-button cluster install, upgrade, and security patching with real downtime budgets, gated by canaries

· Kubernetes operators that schedule large inference workload: resource locks, priority queues, network topology, and health-aware placement

· gRPC control-plane services, authorization, admission webhooks, and quota policy for a multi-tenant fleet

· Metrics and log pipelines with purpose-built exporters for wafer-scale systems, servers (Redfish, IPMI), and network fabric (gNMI, sFlow), on Prometheus and Grafana, with SLOs and alerting

· Failure detection, HA control planes, and automated recovery, plus the CLIs, APIs, and MCP gateway that expose the fleet to users, operators, and AI agents

Skills and Qualifications

· 5+ years building and operating production distributed systems or infrastructure software

· Production-quality Go and Python

· Real Kubernetes depth: you have written or debugged controllers and operators, and you understand CRDs, reconciliation semantics, informer caches, admission webhooks, and RBAC

· Strong debugging skills across distributed systems, Linux, and networking

· Prometheus and Grafana as a practitioner: PromQL, exporter design, cardinality discipline, useful alerts

· Strong self-driving capability. This environment is large, fast-moving, and not fully documented, so we need engineers who build their own context, decide, and drive work across team boundaries. Learning speed matters more here than familiarity with our stack.

· Demonstrated adoption of AI in your engineering workflow: active use of coding agents, a view on where they help and where they mislead, and the rigor to verify what they produce.

· Nice to have: bare-metal or HPC fleet operations, scheduler internals, RDMA/RoCE and eBPF networking, Ceph or NVMe-oF, etcd and HA upgrades, inference serving stacks. ML research experience is not required.

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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More about this job

Responsibilities

You will be responsible for building and maintaining the software infrastructure that manages large-scale clusters of servers and switches. This includes developing Kubernetes operators, automating bare-metal networking, and ensuring the health and observability of the fleet.

Requirements

Candidates must have at least 5 years of experience in building production-grade distributed systems or infrastructure software. Proficiency in Go and Python, along with deep expertise in Kubernetes and distributed system debugging, is essential.

Skills

Go
Python
Kubernetes
Distributed systems
Infrastructure software
CRDs
Prometheus
Grafana
gRPC
Linux
Networking
Bare-metal automation
Failure detection
API development
Cloud infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Distributed Systems
Go
Python
Kubernetes
CRD
Bare-metal
Networking
gRPC
Prometheus
Grafana
Cloud
Automation
HPC
RDMA
RoCE
eBPF
Ceph
NVMe-oF
etcd
Inference
AI
Infrastructure
Linux
Redfish
IPMI
sFlow
gNMI
Admission Webhooks
RBAC
Observability

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